Silent-speech enhancement using body-conducted vocal-tract resonance signals

Speech Communication

Volumn 52, Issue 4, 2010, Pages 301-313

  Hirahara, Tatsuya ^a   Otani, Makoto ^a   Shimizu, Shota ^a   Toda, Tomoki ^b   Nakamura, Keigo ^b   Nakajima, Yoshitaka ^b   Shikano, Kiyohiro ^b  

^a TOYAMA PREFECTURAL UNIVERSITY   (Japan)

^b NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Body conducted sound; Non audible murmur; Talking aids; Voice conversion

Indexed keywords

ACOUSTIC CHARACTERISTIC; DIRECT AMPLIFICATION; FIELD TESTING; IMPAIRED PEOPLE; LISTENING TESTS; NON-AUDIBLE MURMUR; PHYSICAL CHARACTERISTICS; RESONANCE SIGNALS; SOUND PROPAGATION; SPECTRAL CHARACTERISTICS; SPECTRAL DECAY; SPEECH ENHANCEMENT SYSTEM; TRANSMISSION LOSS; VOCAL-TRACTS; VOICE CONVERSION; VOICE IMPAIRMENTS; WHISPERED SPEECH;

AMPLIFICATION; MICROPHONES; RUBBER; SENSORS; SIGNAL TO NOISE RATIO; SILICONES; SPEECH COMMUNICATION; SPEECH ENHANCEMENT; TELEPHONE SYSTEMS;

RESONANCE;

EID: 76849086888     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2009.12.001     Document Type: Article

References (26)

1. Abe, M., Sagisaka, Y., Umeda, T., Kuwabara, H., 1990. Speech Database User's Manual. ATR Technical Report TR-I-0166, ATR Interpreting Telephony Research Lab.
2. Espy-Wilson C., Chari V., Macauslan J., Huang C., and Walsh M. Enhancement of electrolaryngeal speech by adaptive filtering. J. Speech Lang. Hear. Res. 41 6 (1998) 1253-1264
3. Fant G. Acoustic Theory of Speech Production. second ed. (1970), Mouton, Paris
4. Fitch W., and Giedd J. Morphology and development of the human vocal tract: a study using magnetic resonance imaging. J. Acoust. Soc. Am. 106 (1999) 1511-1522
5. Fujisaka Y., Nakagawa S., Ogita T., and Tonoike M. Analysis of wave propagation for bone-conducted ultrasonic in the heterogeneous human head model. Tech. Rep. IEICE 103 608 (2004) 13-17
6. Heracleous, P., Nakajima, Y., Lee, A., Saruwatari, H., Shikano, K., 2003. Accurate hidden Markov models for non-audible murmur (NAM) recognition based on iterative supervised adaptation. In: Proc. ASRU, pp. 73-76.
7. Higashikawa M., and Minifie F. Acoustical-Perceptual Correlates of "Whisper Pitch" in Synthetically Generated Vowels. J. Speech Lang. Hear. Res. 42 (1999) 583-591
8. Yoshinobu Kikuchi, Hideki Kasuya, 2004. Development and evaluation of pitch adjustable electrolarynx. In: Proceeding of International Conference on Speech Prosody, Nara, pp. 761-764.
9. Nakajima, Y., Kashioka, H., Shikano, K., Campbell, N., 2003a. Non-audible murmur recognition input interface using stethoscopic microphone attached to the skin. In: Proc. ICASSP, pp. 708-711.
10. Nakajima, Y., Kashioka H., Shikano, K., Campbell, N., 2003b. Non-audible murmur recognition. In: Proc. EUROSPEECH, pp. 2601-2604.
11. Nakajima Y. Development and evaluation of soft silicone NAM microphone. Tech. Rep. IEICE 105 97 (2005) 7-12
12. Nakajima, Y., Kashioka, H., Shikano, K., Campbell, N., 2005. Remodeling of the sensor for non-audible murmur (NAM). In: Proc. INTERSPEECH, pp. 389-392.
13. Nakajima Y., Kashioka H., Campbell N., and Shikano K. Non-audible murmur (NAM) recognition. IEICE Trans. Inform. Syst. E89-D 1 (2006) 1-8
14. Nakagiri, M., Toda, T., Kashioka, H., Shikano, K., 2006. Improving body transmitted unvoiced speech with statistical voice conversion. In: Proc. INTERSPEECH - ICSLP, pp. 2270-2273.
15. Nakamura, K., Toda, T., Saruwatari, H., Shikano, K., 2006. Speaking aid system for total laryngectomees using voice conversion of body transmitted artificial speech. In: Proc. INTERSPEECH - ICSLP, pp. 1395-1398.
16. Nakamura, K., Toda, T., Saruwatari, H., Shikano, K., 2007. Impact of various small sound source signals on voice conversion accuracy in speech communication aid for Laryngectomees. In: Proc. INTERSPEECH - EUROSPEECH, pp. 2517-2520.
17. Nota Y., Kitamura T., Honda K., Takemoto H., Hirata H., Shimada Y., Fujimoto I., Shakudo Y., and Masaki S. A bone-conduction system for auditory stimulation in MRI. Acoust. Sci. Tech. 28 (2007) 33-38
18. Oestreicher H.L. Field and impedance of an oscillating sphere in a viscoelastic medium with an application to biophysics. J. Acoust. Soc. Am. 23 6 (1951) 707-714
19. Otani M., Hirahara T., Shimizu S., and Adachi S. Numerical simulation of transfer and attenuation characteristics of soft-tissue conducted sound originating from vocal tract. Appl. Acoust. 70 (2009) 469-472
20. Sagisaka Y., and Uratani N. ATR spoken language database. J. Acoust. Soc. Jpn. 48 (1992) 878-882
21. Stylianou Y., Cappe O., and Moulines E. Continuous probabilistic transform for voice conversion. IEEE Trans. SAP 6 2 (1998) 131-142
22. Titze I. Physiologic and acoustic differences between male and female voices. J. Acoust. Soc. Am. 85 (1989) 1699-1707
23. Toda, T., Black, A., Tokuda, K., 2005. Spectral conversion based on maximum likelihood estimation considering global variance of converted parameter. In: Proc. ICASSP, vol. 1, pp. 9-12.
24. Toda, T., Shikano, K., 2005. NAM-to-speech conversion with Gaussian mixture models. In: Proc. INTERSPEECH, pp. 1957-1960.
25. Toda T., Black A., and Tokuda K. Voice conversion based on maximum likelihood estimation of spectral parameter trajectory. IEEE Trans. ASLP 15 8 (2007) 2222-2235
26. Uemi, N., Ifukube, T., Takahashi, M., Matsushima, J., 1994. Design of a new electrolarynx having a pitch control function. In: Proceedings of IEEE International Workshop on Robot and Human Communication, Nagoya, pp. 198-203.