Auditory Patterns Research Articles

Enhanced salience of edge frequencies in auditory pattern recognition.

Within musical scenes or textures, sounds from certain instruments capture attention more prominently than others, hinting at biases in the perception of multisource mixtures. Besides musical factors, these effects might be related to frequency biases in auditory perception. Using an auditory pattern-recognition task, we studied the existence of such frequency biases. Mixtures of pure tone melodies were presented in six frequency bands. Listeners were instructed to assess whether the target melody was part of the mixture or not, with the target melody presented either before or after the mixture. In Experiment 1, the mixture always contained melodies in five out of the six bands. In Experiment 2, the mixture contained three bands that stemmed from the lower or the higher part of the range. As expected, Experiments 1 and 2 both highlighted strong effects of presentation order, with higher accuracies for the target presented before the mixture. Notably, Experiment 1 showed that edge frequencies yielded superior accuracies compared with center frequencies. Experiment 2 corroborated this finding by yielding enhanced accuracies for edge frequencies irrespective of the absolute frequency region. Our results highlight the salience of sound elements located at spectral edges within complex musical scenes. Overall, this implies that neither the high voice superiority effect nor the insensitivity to bass instruments observed by previous research can be explained by absolute frequency biases in auditory perception.

The Effect of Internal and external imagery on learning badminton long serve skill: The role of visual and audiovisual imagery

This study aimed to examine the impact of internal and external audiovisual imagery on the learning of the badminton long serve skill. A lot of 42 right-handed novice women were selected using availability sampling. Participants were categorized into four groups based on their scores from the visual imagery ability questionnaire and Bucknell auditory questionnaire: Visual-Internal imagery, Visual-External imagery, AudioVisual-Internal imagery and AudioVisual-External imagery groups. To generate an auditory pattern, the shoulder joint’s angular velocity of a skilled individual was recorded and translated into sound based on frequency characteristic changes. Subjects underwent four sessions of 40 trials each and subsequently participated in retention and transfer tests. Performance accuracy of the badminton long serve was assessed using the Scott and Fox standard test and repeated measures ANOVA was employed to compare performance across groups during test stages. While no significant differences were noted between groups during the acquisition stages, indicated that subjects in the AudioVisual imagery conditions outperformed those in Visual imagery during the retention test. Additionally, the AudioVisual-Internal Imagery group demonstrated superior performance compared to other groups. Internal imagery groups also exhibited better performance in the later stages of acquisition, retention and transfer tests compared to external imagery groups. These findings suggest that the incorporation of audiovisual imagery utilizing movement sonification, alongside physical practice, improves skill development more effectively than visual imagery alone.

Voice actors show enhanced neural tracking of pitch, prosody perception, and music perception

Experiences with sound that make strong demands on the precision of perception, such as musical training and experience speaking a tone language, can enhance auditory neural encoding. Are high demands on the precision of perception necessary for training to drive auditory neural plasticity? Voice actors are an ideal subject population for answering this question. Voice acting requires exaggerating prosodic cues to convey emotion, character, and linguistic structure, drawing upon attention to sound, memory for sound features, and accurate sound production, but not fine perceptual precision. Here we assessed neural encoding of pitch using the frequency-following response (FFR), as well as prosody, music, and sound perception, in voice actors and a matched group of non-actors. We find that the consistency of neural sound encoding, prosody perception, and musical phrase perception are all enhanced in voice actors, suggesting that a range of neural and behavioural auditory processing enhancements can result from training which lacks fine perceptual precision. However, fine discrimination was not enhanced in voice actors but was linked to degree of musical experience, suggesting that low-level auditory processing can only be enhanced by demanding perceptual training. These findings suggest that training which taxes attention, memory, and production but is not perceptually taxing may be a way to boost neural encoding of sound and auditory pattern detection in individuals with poor auditory skills.

CNN-LSTM for Heartbeat Sound Classification

Cardiovascular disorders are among the primary causes of death. Regularly monitoring the heart is of paramount importance in preventing fatalities arising from heart diseases. Heart disease monitoring encompasses various approaches, including the analysis of heartbeat sounds. The auditory patterns of a heartbeat can serve as indicators of heart health. This study aims to build a new model for categorizing heartbeat sounds based on associated ailments. The Phonocardiogram (PCG) method digitizes and records heartbeat sounds. By converting heartbeat sounds into digital data, researchers are empowered to develop a deep learning model capable of discerning heart defects based on distinct cardiac rhythms. This study proposes the utilization of Mel-frequency cepstral coefficients for feature extraction, leveraging their application in voice data analysis. These extracted features are subsequently employed in a multi-step classification process. The classification process merges a convolutional neural network (CNN) with a long short-term memory network (LSTM), forming a comprehensive deep learning architecture. This architecture is further enhanced through optimization utilizing the Adagrad optimizer. To examine the effectiveness of the proposed method, its classification performance is evaluated using the "Heartbeat Sounds" dataset sourced from Kaggle. Experimental results underscore the effectiveness of the proposed method by comparing it with simple CNN, CNN with vanilla LSTM, and traditional machine learning methods (MLP, SVM, Random Forest, and k-NN).

المثابرة الأكاديمية وعلاقتها بأنماط التحمل الإدراكي لدى طلبة الجامعة

The current study aimed to identify academic perseverance and its relationship to patterns of cognitive endurance among university students. And a female student from the University of Al-Qadisiyah, representing 1% of the research community, with (160) male students (240) female students, between the ages of (18-25) years, who were chosen using the random stratified sampling method, and the researcher used the descriptive method in her study, and to collect data, a scale was built. Academic perseverance, which includes three domains (the ability) to continue challenging work and the desire to succeed. A measure of cognitive endurance patterns was also built, and after data collection and statistical processing using the second test for one sample, the second test for two independent samples, Pearson's correlation coefficient, and Cronbach's alpha, the study found The most important results are the following There is a statistically significant difference in favor of the arithmetic mean, meaning that students have academic perseverance. There are differences between males and females, and there are no differences in specialization (science and humanities). There are significant differences, meaning that the students have a positive tolerance towards the visual (complementary) pattern, a positive tolerance towards the auditory pattern (dual), and they have a positive perceptual tolerance towards the sensory pattern (monopoly). . It was found that there were differences between male and female students in favor of females in patterns of cognitive endurance. The results also showed that there were no differences in specialization (scientific and human), and the results also did not show that there were any. Differences in the interaction between sex and specialization) Keywords: Academic perseverance, patterns of cognitive endurance, university studnts

Concurrent Encoding of Sequence Predictability and Event-Evoked Prediction Error in Unfolding Auditory Patterns.

Human listeners possess an innate capacity to discern patterns within rapidly unfolding sensory input. Core questions, guiding ongoing research, focus on the mechanisms through which these representations are acquired and whether the brain prioritizes or suppresses predictable sensory signals. Previous work, using fast auditory sequences (tone-pips presented at a rate of 20 Hz), revealed sustained response effects that appear to track the dynamic predictability of the sequence. Here, we extend the investigation to slower sequences (4 Hz), permitting the isolation of responses to individual tones. Stimuli were 50 ms tone-pips, ordered into random (RND) and regular (REG; a repeating pattern of 10 frequencies) sequences; Two timing profiles were created: in "fast" sequences, tone-pips were presented in direct succession (20 Hz); in "slow" sequences, tone-pips were separated by a 200 ms silent gap (4 Hz). Naive participants (N = 22; both sexes) passively listened to these sequences, while brain responses were recorded using magnetoencephalography (MEG). Results unveiled a heightened magnitude of sustained brain responses in REG when compared to RND patterns. This manifested from three tones after the onset of the pattern repetition, even in the context of slower sequences characterized by extended pattern durations (2,500 ms). This observation underscores the remarkable implicit sensitivity of the auditory brain to acoustic regularities. Importantly, brain responses evoked by single tones exhibited the opposite pattern-stronger responses to tones in RND than REG sequences. The demonstration of simultaneous but opposing sustained and evoked response effects reveals concurrent processes that shape the representation of unfolding auditory patterns.

Systemic neurophysiological signals of auditory predictive coding.

Predictive coding framework posits that our brain continuously monitors changes in the environment and updates its predictive models, minimizing prediction errors to efficiently adapt to environmental demands. However, the underlying neurophysiological mechanisms of these predictive phenomena remain unclear. The present study aimed to explore the systemic neurophysiological correlates of predictive coding processes during passive and active auditory processing. Electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and autonomic nervous system (ANS) measures were analyzed using an auditory pattern-based novelty oddball paradigm. A sample of 32 healthy subjects was recruited. The results showed shared slow evoked potentials between passive and active conditions that could be interpreted as automatic predictive processes of anticipation and updating, independent of conscious attentional effort. A dissociated topography of the cortical hemodynamic activity and distinctive evoked potentials upon auditory pattern violation were also found between both conditions, whereas only conscious perception leading to imperative responses was accompanied by phasic ANS responses. These results suggest a systemic-level hierarchical reallocation of predictive coding neural resources as a function of contextual demands in the face of sensory stimulation. Principal component analysis permitted to associate the variability of some of the recorded signals.

Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition

Spiking neural networks coupled with neuromorphic hardware and event-based sensors are getting increased interest for low-latency and low-power inference at the edge. However, multiple spiking neuron models have been proposed in the literature with different levels of biological plausibility and different computational features and complexities. Consequently, there is a need to define the right level of abstraction from biology in order to get the best performance in accurate, efficient and fast inference in neuromorphic hardware. In this context, we explore the impact of synaptic and membrane leakages in spiking neurons. We confront three neural models with different computational complexities using feedforward and recurrent topologies for event-based visual and auditory pattern recognition. Our results showed that, in terms of accuracy, leakages are important when there are both temporal information in the data and explicit recurrence in the network. Additionally, leakages do not necessarily increase the sparsity of spikes flowing in the network. We also investigated the impact of heterogeneity in the time constant of leakages. The results showed a slight improvement in accuracy when using data with a rich temporal structure, thereby validating similar findings obtained in previous studies. These results advance our understanding of the computational role of the neural leakages and network recurrences, and provide valuable insights for the design of compact and energy-efficient neuromorphic hardware for embedded systems.

Early Years: Creating Perceptual Space Where Music and Language Can Meet

ABSTRACT Auditory perception and auditory cognition development in early years are foundational for social and emotional development and language acquisition. The ability to recognize sound patterns around us and the delicate balance between their acoustic features determines our understanding of the intrinsic nature of language, socio-emotional interactions, and music. Both acoustic feature recognition and an ability to effectively form a perceptual unit – an auditory object – are fundamental for developing an ability to make sense of sound. Since both music and language rely on the auditory system to perceive and produce sound, the potential of using music in interventions for children with language acquisition difficulties like Autism Spectrum Disorders (ASD) has been raised by numerous scientists. Based on personal experience, the current paper discusses opportunities for supporting auditory perception development in music-based interactions using instrumental sound patterns. It details how manipulation of acoustic features like pitch, rhythm, timbre, duration, and intensity can help develop auditory skills like auditory pattern recognition, categorization of sounds by timbre, pitch, auditory object formation, and symbolization – the prerequisites for recognizing vocal identity, understanding spoken language, and articulating spoken messages.

Neuroplasticity as a driver of beneficial effects in music interventions in children with developmental disorders

The potential to make and to enjoy music is genetically enrooted in humans and is an important resource of joy and quality of live for children and adolescents. Music making induces short-term and long-term neuroplastic adaptations in cortical and subcortical structures. Normally developing children who learn to play a musical instrument show better auditory pattern recognition and auditory memory. Furthermore sensorimotor, intellectual, and emotional maturation are accelerated. These effects can also be used beneficially through music interventions in children and adolescents suffering from neurodevelopmental disorders, from hearing disorders, or from cerebral palsy. Children with autism spectrum disorders learn better self-control and attention management through musical interventions and are supported in contact and communication skills. For children with cochlear implants, musical training can improve long-term outcomes not only in music perception but also in speech perception. Finally, learning a musical instrument and the associated sensorimotor-auditory and emotional integration may help children with infantile cerebral palsy improve fine motor skills but also emotional stability. Due to the numerous positive results (albeit frequently in studies with small numbers and lower quality), we advocate the increased use of qualified music intervention in child neurology and its accompanying scientific evaluation.

A music approach to time–frequency conversion in hormones: a novel methodology for auditory pattern using NMR spectroscopy

A music approach to time–frequency conversion in hormones: a novel methodology for auditory pattern using NMR spectroscopy

Mismatch negativity as a marker of auditory pattern separation.

To what extent does incidental encoding of auditory stimuli influence subsequent episodic memory for the same stimuli? We examined whether the mismatch negativity (MMN), an event-related potential generated by auditory change detection, is correlated with participants' ability to discriminate those stimuli (i.e. targets) from highly similar lures and from dissimilar foils. We measured the MMN in 30 young adults (18-32years, 18 females) using a passive auditory oddball task with standard and deviant 5-tone sequences differing in pitch contour. After exposure, all participants completed an incidental memory test for old targets, lures, and foils. As expected, participants at test exhibited high sensitivity in recognizing target items relative to foils and lower sensitivity in recognizing target items relative to lures. Notably, we found a significant correlation between MMN amplitude and lure discrimination, but not foil discrimination. Our investigation shows that our capacity to discriminate sensory inputs at encoding, as measured by the MMN, translates into precision in memory for those inputs.

Differential sensitivity to speech rhythms in young and older adults.

Sensitivity to the temporal properties of auditory patterns tends to be poorer in older listeners, and this has been hypothesized to be one factor contributing to their poorer speech understanding. This study examined sensitivity to speech rhythms in young and older normal-hearing subjects, using a task designed to measure the effect of speech rhythmic context on the detection of changes in the timing of word onsets in spoken sentences. A temporal-shift detection paradigm was used in which listeners were presented with an intact sentence followed by two versions of the sentence in which a portion of speech was replaced with a silent gap: one with correct gap timing (the same duration as the missing speech) and one with altered gap timing (shorter or longer than the duration of the missing speech), resulting in an early or late resumption of the sentence after the gap. The sentences were presented with either an intact rhythm or an altered rhythm preceding the silent gap. Listeners judged which sentence had the altered gap timing, and thresholds for the detection of deviations from the correct timing were calculated separately for shortened and lengthened gaps. Both young and older listeners demonstrated lower thresholds in the intact rhythm condition than in the altered rhythm conditions. However, shortened gaps led to lower thresholds than lengthened gaps for the young listeners, while older listeners were not sensitive to the direction of the change in timing. These results show that both young and older listeners rely on speech rhythms to generate temporal expectancies for upcoming speech events. However, the absence of lower thresholds for shortened gaps among the older listeners indicates a change in speech-timing expectancies with age. A further examination of individual differences within the older group revealed that those with better rhythm-discrimination abilities (from a separate study) tended to show the same heightened sensitivity to early events observed with the young listeners.

Sandra Trehub (1938–2023)

Research Article| April 01 2023 Sandra Trehub (1938–2023) E. Glenn Schellenberg, E. Glenn Schellenberg Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Portugal Search for other works by this author on: This Site PubMed Google Scholar Laurel J. Trainor Laurel J. Trainor McMaster University, Hamilton, Canada Search for other works by this author on: This Site PubMed Google Scholar Music Perception (2023) 40 (4): 347–349. https://doi.org/10.1525/mp.2023.40.4.347 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation E. Glenn Schellenberg, Laurel J. Trainor; Sandra Trehub (1938–2023). Music Perception 1 April 2023; 40 (4): 347–349. doi: https://doi.org/10.1525/mp.2023.40.4.347 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentMusic Perception Search We are greatly saddened by the passing of Sandra Trehub. Born in 1938, she died peacefully at her home on January 20, 2023. Sandra was a trailblazer. Her research focusing on auditory pattern perception in infancy and early childhood single-handedly started developmental research in music perception and cognition. Her experimental studies documented that infants have basic skills that form the building blocks for remembering and responding emotionally to music, including the capability to perceive and categorize auditory sequences on the basis of pitch, upward or downward changes in pitch, and rhythm. Her research also established that singing to infants is a universal behavior, which ultimately facilitates language acquisition and bonding with caregivers. A fellow of the Association for Psychological Science and the British Psychological Society, Sandra was awarded many honors, including a Lifetime Achievement Award from the Society for Music Perception and Cognition and the Kurt Koffka Medal from the... You do not currently have access to this content.

The Relationship between P300 and Central Auditory Processing Test Result.

Central auditory processing (CAP) refers to the perceptual processing of auditory inputs in the central nervous system and includes a series of auditory skills such as sound localization, auditory pattern recognition, and temporal sequencing which is a component of temporal processing. This skill can be assessed by frequency pattern test (FPT) and duration pattern test (DPT). Auditory attention is another skill that contributes to the CAP and can be analyzed by the P300. This study assesses the relationship between the P300 latency and the CAP test results of individuals with normal hearing. An experimental study was used in which the determined tests were applied to the participants. Thirty-four individuals with normal hearing between the ages of 20 and 40 years were included in the study. P300, FPT, and DPT were applied to the participants. The Spearman correlation test and Mann-Whitney U test were used for analysis. There were significant moderate and strong-level negative correlations between P300 latency and the scores obtained from frequency pattern and DPT (p < 0.01). We also analyzed whether P300 latency and frequency pattern and DPT scores differed according to gender and, as a result, did not find significant relationship (p > 0.05). We observed that frequency pattern and DPT scores decreased as P300 latency increased. We propose that these results could contribute to the diagnosis and follow-up process of CAP disorder by allowing P300 and CAP tests to be cross-checked.

Sonification of Motor Imagery in the Basketball Jump Shot: Effect on Muscle Activity Amplitude

The purpose of this research was to study the effect of AudioVisual pattern on the muscle activity amplitude during mental imagery. For this purpose, 25 female students (20.73 ± 1.56 years old) engaged in mental imagery (internal, external, and kinesthetic) in three conditions: No pattern, Visual pattern, and AudioVisual pattern. The angular velocity of the elbow joint in the basketball jump shot skill was sonified and presented to the subjects as an auditory pattern. The results showed that the muscle activity amplitude in AudioVisual–kinesthetic and AudioVisual–internal (and not external) conditions is higher than for other conditions. Additionally, a positive correlation was observed between Visual–kinesthetic imagery ability and muscle activity amplitude in the AudioVisual pattern condition and in kinesthetic and internal imagery. In addition, the muscle activity amplitude of high and low Visual–kinesthetic imagery ability conditions were only different in the AudioVisual pattern. The superiority of the AudioVisual condition is most likely due to the auditory information presented in this research being closely related to the kinesthetic sense of movement.

Response properties of spiking and non-spiking brain neurons mirror pulse interval selectivity

In the bispotted field cricket auditory pulse pattern recognition of the species-specific calling song is based on a delay-line and coincidence detection network, established by the activity and synaptic connections of only 5 auditory neurons in the brain. To obtain a more detailed understanding of the network and the dynamic of the neural activity over time we analyzed the response properties of these neurons to test patterns, in which the pulse duration was kept constant while the duration of specific pulse intervals was systematically altered. We confirm that the ascending interneuron AN1 and the local interneuron LN2 copy the structure of the pulse pattern, however with limited resolution at short pulse intervals, further evident in downstream neural responses. In the non-spiking delay-line interneuron LN5 during long pulse intervals full-blown rebound potentials develop over a time course of 35–70 ms. LN5 also reveals an overall increase in its membrane potential tuned to chirps of the calling song pulse pattern. This may contribute to the pattern recognition process by driving the activity of the coincidence-detector LN3 and may indicate a further function of the delay-line neuron LN5. The activity of LN3 and of the feature detector LN4 match the tuning of the phonotactic behavior and demonstrate an increasingly sparse coding of the calling song pulse patterns as evident in the response of the feature detector LN4. The circuitry reveals a fundamental mechanism of auditory pattern recognition and demonstrates a principle of neuronal coding.

Auditory pattern discrimination in budgerigars (Melopsittacus undulatus)

Auditory patterns carry information in human speech at multiple levels, including the surface relationships between sounds within words in phonology and the abstract structures of syntax. The sequences of other animal vocalizations, such as birdsong, can also be described as auditory patterns, but few studies have probed how the sequences are perceived at multiple levels. Past work shows that a small parrot species, the budgerigar (Melopsittacus undulatus), exceeds other birds in sequence perception and is even sensitive to abstract structure. But it is not known what level of auditory analysis is dominant in perception or what limits might exist in sensitivity to abstract structure. Here, budgerigars were tested on their ability to discriminate changes in an auditory pattern, AAB, i.e. sound-same different, to ask how they attended to surface relationships among the sounds and the abstract relationships of same/different among the elements. The results show that the budgerigars primarily used surface transitions between the sounds when discriminating the sequences, but were able to use the abstract relationships to a limited extent, largely restricted to two elements. This study provides insight into how budgerigars extract information from conspecific vocalizations and how their capacities compare to human speech perception.

Perceptual grouping in complex rhythmic patterns.

Perception of simple temporal patterns has been shown to rely on accentuations in terms of intensity, pitch, or timbre, but also on grouping according to runs of the same events (intervals between successive sounds or light flashes) or significant gaps between them (Garner in The processing of information and structure. Lawrence Erlbaum, 1974; Preusser et al. in Am J Psychol 83(2):151-170 in 1970; Royer and Garner in Percept Psychophys 1(1):41-47, 1966; Royer and Garner in Percept Psychophys 7(2):115-120, 1970; Yu et al. in Atten Percept Psychophys 77(8):2728-2739, 2015). Here we investigate whether the run and gap principles can also account for participants' perceived start of complex rhythmic patterns. We also investigated the role of participants' musical training. Sixteen novices and 16 amateur musicians listened to rhythmic patterns and indicated perceived starting points by a single tap with a drumstick on electronic pads. Auditory patterns contained prominent gaps, runs, or a combination of the two for target intervals. We systematically varied task complexity in terms of the target durations of intervals constituting the patterns and overall tempos. Overall, run and gap principles proved to be useful grouping principles accounting for a large proportion (59.2%) of the selected starting positions underlining the universal relevance of these principles. Grouping principles were not as successful in predicting the perceived start of a rhythmic pattern compared to previous studies. Results indicate that additional grouping principles must be at play. Predictive power of the grouping principles varied depending on the structure of rhythmic patterns. For rhythmic patterns including longer intervals (i.e., longer gaps) the gap principle alone or in combination with the run principle showed the strongest predictive power. Novices and amateur musicians were similar in their usage of grouping principles suggesting that the underlying principles might be equally at the dispositions of performers and listeners.

Abstract representations of small sets in newborns

From the very first days of life, newborns are not tied to represent narrow, modality- and object-specific aspects of their environment. Rather, they sometimes react to abstract properties shared by stimuli of very different nature, such as approximate numerosity or magnitude. As of now, however, there is no evidence that newborns possess abstract representations that apply to small sets: in particular, while newborns can match large approximate numerosities across senses, this ability does not extend to small numerosities. In two experiments, we presented newborn infants (N = 64, age 17 to 98 h) with patterned sets AB or ABB simultaneously in the auditory and visual modalities. Auditory patterns were presented as periodic sequences of sounds (AB: triangle-drum-triangle-drum-triangle-drum …; ABB: triangle-drum-drum-triangle-drum-drum-triangle-drum-drum …), and visual patterns as arrays of 2 or 3 shapes (AB: circle-diamond; ABB: circle-diamond-diamond). In both experiments, we found that participants reacted and looked longer when the patterns matched across the auditory and visual modalities – provided that the first stimulus they received was congruent. These findings uncover the existence of yet another type of abstract representations at birth, applying to small sets. As such, they bolster the hypothesis that newborns are endowed with the capacity to represent their environment in broad strokes, in terms of its most abstract properties. This capacity for abstraction could later serve as a scaffold for infants to learn about the particular entities surrounding them.