Proceedings ArticleDOI
A lightweight processing for conversion of whispering voice into normal speech
Anderson Pierre Passos
- pp 74-79
TLDR
The study introduced here is centered on developing a signal processing application, not a signal recognizing application, where the whispering voice signal is converted to pseudo-real voice signal similar to normal speech.Abstract:
Analyzing the whispering voice signal, it is considered to be as understandable as normal speech when heard at proximity and can also carry prosodic information. The study introduced here is centered on developing a signal processing application, not a signal recognizing application, where the whispering (non-speaking voice or talk without vocal fold activation) signal is converted to pseudo-real voice signal similar to normal speech. The method proposed in this study tries to achieve its objective without relying on any specific hardware device, making use of the whispering voice signal's own properties and information. Finally, validation of the proposed method has been conduced and the results analyzed.read more
Citations
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Proceedings ArticleDOI
Fundamental frequency generation for whisper-to-audible speech conversion
TL;DR: This work addresses the F0 modeling in whisper-to-speech conversion and shows that F0 contours can be derived from the mapped spectral vectors, which can be used for the synthesis of a speech signal.
Journal ArticleDOI
Transformation of whispering voice to pseudo-real voice for unvoiced telephony and communication aid for voice-handicapped persons
TL;DR: The study introduced here intends to cover both issues, introducing a system where the whispering signal is converted to pseudo-real voice signal, which is to be sent to, or heard by, the other party.
Proceedings ArticleDOI
An analysis of human acceptability of recreated voice samples from whispering
TL;DR: This work is doing reconstruction of whispering voice into a pseudo-real voice from a different perspective and using the raw signal data only, which can avoid heavy computation load because the approach does not require the data to be transformed before being analyzed.
References
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