Technologies for Processing Body-Conducted Speech Detected with Non-Audible Murmur Microphone
| Autor: | Tomoki Toda, Keigo Nakamura, Kiyohiro Shikano, Takayuki Nagai, Yoshitaka Nakajima, Tomomi Kaino |
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| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Audio mining
body-conducted speech Voice activity detection voice conversion Computer science Microphone Speech recognition automatic speech recognition Speech technology Acoustic model Speech synthesis Intelligibility (communication) Speech processing computer.software_genre Non-Audible Murmur computer silent speech |
| Zdroj: | Scopus-Elsevier INTERSPEECH |
| Popis: | In this paper, we review our recent research on technologies for processing body-conducted speech detected with Non-Audible Murmur (NAM) microphone. NAM microphone enables us to detect various types of body-conducted speech such as extremely soft whisper, normal speech, and so on. Moreover, it is robust against external noise due to its noise-proof structure. To make speech communication more universal by effectively using these properties of NAM microphone, we have so far developed two main technologies: one is body-conducted speech conversion for humanto- human speech communication; and the other is body-conducted speech recognition for man-machine speech communication. This paper gives an overview of these technologies and presents our new attempts to investigate the effectiveness of body-conducted speech recognition. INTERSPEECH2009: 10th Annual Conference of the International Speech Communication Association, September 6-10, 2009, Brighton, UK. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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