Abstract
Voice Activity Detection (VAD) provides the information whether an audio signal contains speech or not. Besides speech coding and transmission, there are many other applications in speech and audio processing that benefit from this information, and their performance is crucially dependent on the accuracy and robustness of the applied VAD. Various approaches to detect speech have been developed in the past, but when considering the challenging scenarios in which speech needs to be detected, e.g. hands-free communication in noisy environments or dialog in background music, there is still room for improvement. In this chapter, we describe the problem and the environments of VAD, discuss the procedure, examples for methods and their evaluation. Especially the more challenging application scenarios illustrate how superior human hearing can be compared to implementations of audio signal processing.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
