Text Utterances Research Articles

Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations

Zero-shot multi-speaker TTS aims to synthesize speech with the voice of a chosen target speaker without any fine-tuning. Prevailing methods, however, encounter limitations at adapting to new speakers of out-of-domain settings, primarily due to inadequate speaker disentanglement and content leakage. To overcome these constraints, we propose an innovative negation feature learning paradigm that models decoupled speaker attributes as deviations from the complete audio representation by utilizing the subtraction operation. By eliminating superfluous content information from the speaker representation, our negation scheme not only mitigates content leakage, thereby enhancing synthesis robustness, but also improves speaker fidelity. In addition, to facilitate the learning of diverse speaker attributes, we leverage multi-stream Transformers, which retain multiple hypotheses and instigate a training paradigm akin to ensemble learning. To unify these hypotheses and realize the final speaker representation, we employ attention pooling. Finally, in light of the imperative to generate target text utterances in the desired voice, we adopt adaptive layer normalizations to effectively fuse the previously generated speaker representation with the target text representations, as opposed to mere concatenation of the text and audio modalities. Extensive experiments and validations substantiate the efficacy of our proposed approach in preserving and harnessing speaker-specific attributes vis-à-vis alternative baseline models.

ANALYSIS OF TRANSLATE XI JINPING’S SPEECH AT THE 20TH NATIONAL CONGRESS OF THE COMMUNIST PARTY OF CHINA INTO RUSSIAN (BY USING TRANSLATION-ORIENTED METHOD)

Object. The purpose of the article is to study translation solutions in the Russian translation of Xi Jinping’s speech at the 20th National Congress of the Communist Party of China. Methods. The analysis of translation decisions in Chinese leader’s speech Russian translation is carried out using the translation-oriented method, which allows us to study the main processes occurring in the translator’s language consciousness when choosing a translation solution by translation text’s analysis. In addition, the study used general scientific methods, incl. descriptive analysis, deduction and induction, and generalization. Using a random sample, we selected speech utterances in text of the Chinese leader Xi Jinping report at the 20th National Congress of the Communist Party of China. At first, we searched ideologemes, set expressions, idioms, political terms etc. in original Xi Jinping’s speech. After that we were subsequently extracted from the translation text and compared them. The translation method analysis chosen by the translator was carried out, the assessment of the correctness of the translation solution in accordance with the requirements for the quality of the translation, as equivalence and adequacy. Findings. As a result, it was found that translation decisions in the transfer of the speech of the political leader of China most often come down to direct translation, especially in cases of interpreting metaphors, ideologies and political terms with Chinese characteristics. In some cases, the direct transmission of such vocabulary does not make it possible to make the translation adequate and understandable for the Russian-speaking recipient, and therefore casts doubt on the correctness of the translation decision made and poses a threat to effective international political communication between the two countries. Conclusions. Improving the skills of choosing translation decisions will improve the quality of translation of the speeches of Chinese political leaders into Russian, which requires a deeper study of cognitive decision-making mechanisms in Chinese-Russian political speech’s translation.

The Analysis of Linguistics Features of Ecovacs Vacuum Robot Deebot Ozmo 920 Manual Book: A Procedure Text

Manual book is a guidebook made to convey information related to the product purchased by consumers. This information is usually detailed regarding warranty information, safety instructions, installation instructions, problem identification, setup instructions, general specifications about the product and maintenance and troubleshooting instructions. The objective of this qualitative research was to analyze schematic structure in a procedure text of Ecovacs Vacuum Robot Deebot Ozmo 920 manual book, especially in Important safety instruction text. There are 44 utterances in text of Important Safety Instruction that are picked up randomly as some samples of analysis. Before they are analyzed, the utterances were grouped with the same linguistics categories, those are simple present tense, imperative sentence, declarative sentence, conjunction, and material process. In material process, there are two categories to discuss, they are passive voice and active voice. Then using schematic structure form, the data were analyzed one by one. The findings of this study show that the language used in Important safety instruction text in manual book is concise, as evidenced by the low percentage of conjunctions (4%). Another is the language used in the text of the Important safety instruction text is effective and direct, as shown by the high percentages of declarative (20%) and imperative sentences (27%), this reduces the possibility of misunderstandings or misinterpretations moreover, the pattern makes the information being conveyed directly easy to understand. Moreover, the study only discusses linguistic features to explain how to describe the use of language in a straightforward procedural tex

Can Tomb Terminology Be Used as a Criterion for Dating the Pyramid Texts?

Abstract Scholars have long recognized that some Pyramid Text utterances display signs of age that indicate a pre-monumental history of use. Two utterances in particular, PT 355 and PT 662, have been dated by scholars as early as the Pre- or Early Dynastic, based on lines interpreted as describing a pre-pyramidal royal tomb-form (a mudbrick mastaba or a sand grave). This article evaluates the assumptions upon which these claims are based and uses this question to examine the complex interaction between lexical semantics, religious beliefs, and material culture. This article will show that tomb terminology is not a definitive indicator of an early date of composition of Pyramid Text utterances, as the association of lexemes with specific archaeological building-types is problematized by innovations in language, religion, and architecture that occurred in the early Old Kingdom, as well as changes in modern scholarship’s understanding of the context and use of the Pyramid Texts.

Kias in Short Story Collection “Satu Hari Bukan di Hari Minggu” by Yetti A.KA, A Semantic Analysis Approach

<pre><span>This study will discuss the form of class language in a collection of short stories. </span><span>Interestingly</span><span> in Indonesian in a unique collection of unique short stories to be studied, because most of the others have not thought form kias in a literature. Kias are always only examined in the form of text utterances containing the mandate of parents and so on. This research uses Keraf theory (2010) as a form of kias language style, and kias meaning using Manaf (2008) and Aminuddin (2008) theory. The method which is the method ordered by Sudaryanto (1993). The results of this study found that the forms and meanings of language styles found most often in the book </span><em><span>Satu Hari Bukan di Hari Minggu </span></em><span>Yetti A.Ka's work is simile, personification, irony, cynicism, sarcasm and epithet which refers to the meaning that corresponds to the short story text and in accordance with the context of the short story.</span></pre>

Conceptual Recurrence Plots: Revealing Patterns in Human Discourse

Human discourse contains a rich mixture of conceptual information. Visualization of the global and local patterns within this data stream is a complex and challenging problem. Recurrence plots are an information visualization technique that can reveal trends and features in complex time series data. The recurrence plot technique works by measuring the similarity of points in a time series to all other points in the same time series and plotting the results in two dimensions. Previous studies have applied recurrence plotting techniques to textual data; however, these approaches plot recurrence using term-based similarity rather than conceptual similarity of the text. We introduce conceptual recurrence plots, which use a model of language to measure similarity between pairs of text utterances, and the similarity of all utterances is measured and displayed. In this paper, we explore how the descriptive power of the recurrence plotting technique can be used to discover patterns of interaction across a series of conversation transcripts. The results suggest that the conceptual recurrence plotting technique is a useful tool for exploring the structure of human discourse.

Voice-responsive command and control system and methodology for use in a signal measurement system

A speech-responsive command and control system and methodology for use in a signal measurement system, enabling an operator to control certain features and functions of the oscilloscope without using manual or graphical controls. A speech-responsive command and control system includes a speech recognition engine constructed and arranged to validate digital voice signals in accordance with an associated grammar file defining command and control utterances for controlling the signal measurement system. A voice controlled measurement system controller is also included. This controller is constructed and arranged to control the signal measurement system in response to text utterances validated by the speech recognition engine. The grammar may include rules defining acceptable command and control utterances suitable for controlling the signal measurement system. The speech recognition engine generates, for valid utterances, a text utterance representing the recognized utterance to the voice-controlled measurement system controller. The text utterance may be an ASCII string. In one embodiment, the system includes a natural language speech application interface. The NLSAI is constructed and arranged to parse the valid text utterances to generate command parameters included in the valid text utterances based upon a predetermined corpus comprising a list of all valid command an control utterances. A method for controlling a signal measurement system in response to voice commands is also disclosed. The method includes the steps of: 1) receiving a command utterance generated by the operator; 2) digitizing the command utterance; 3) determining whether the digitized command utterance is a valid command and control utterance; and 4) generating a system command to cause the signal measurement system to perform a function in response to the valid command and control utterance. Preferably, the method also includes the step of: 5) displaying the command utterance on a display operatively coupled to the signal measurement system.

Method of assessing degree of acoustic confusability, and system therefor

Predicting speech recognizer confusion where utterances can be represented by any combination of text form and audio file. The utterances are represented with an intermediate representation that directly reflects the acoustic characteristics of the utterances. Text representations of the utterances can be directly used for predicting confusability without access to audio file examples of the utterances. First embodiment: two text utterances are represented with strings of phonemes and one of the strings of phonemes is transformed into the other strings of phonemes for a least cost as a confusability measure. Second embodiment: two utterances are represented with an intermediate representation of sequences of acoustic events based on phonetic capabilities of speakers obtained from acoustic signals of the utterances and the acoustic events are compared. Predicting confusability of the utterances according to a formula 2K/(T), K is a number of matched acoustic events and T is a total number of acoustic events.