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TAMIL WORDS SPEECH SYNTHESIS IN COCHLEAR IMPLANT USING ACOUSTIC MODEL

GUIDED BY T.JAYASANKAR, ASST.PROFESSOR OF ECE, ANNA UNIVERSITY OF TIRUCHIRAPPALLI. PRESENTED BY C.SENTHILKUMAR, REG.NO:810011992018, M.E(MBCBS),COM SYSTEM,VI MODULE. . TAMIL WORDS SPEECH SYNTHESIS IN COCHLEAR IMPLANT USING ACOUSTIC MODEL.

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TAMIL WORDS SPEECH SYNTHESIS IN COCHLEAR IMPLANT USING ACOUSTIC MODEL

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  1. GUIDED BY T.JAYASANKAR, ASST.PROFESSOR OF ECE, ANNA UNIVERSITY OF TIRUCHIRAPPALLI. PRESENTED BY C.SENTHILKUMAR, REG.NO:810011992018, M.E(MBCBS),COM SYSTEM,VI MODULE. TAMIL WORDS SPEECH SYNTHESIS IN COCHLEAR IMPLANT USING ACOUSTIC MODEL

  2. A cochlear implant (CI) is a surgically implanted electronic device that provides a sense of sound to a person who is profoundly deaf or severely hard of hearing. • The main objective of this work is to develop the system that reproduces the incoming sound/speech signals as naturally as possible OBJECTIVE

  3. Literature survey

  4. System design • Speech Data Collection • Tamil words are recorded from a male speaker at a sampling frequency of 16 kHz with a head mounted carbon microphone of frequency range 20 Hz – 20 kHz using s PRAAT tool

  5. Channel vocoder based acoustic model General block Diagram ACOUSTIC MODEL INPUT SPEECH SYNTHETIC SPEECH ANALYZER SYNTHESIZER

  6. Uniform bandwidth filter bank method • Critical bandwidth filter bank method Channel vocoder

  7. Channel vocoder ANALYZER(Uniform Bandwidth)

  8. Acoustic model parameters • Sampling Frequency : 16000Hz • Frequency Range : 0-8200Hz • Filter Type : IIR – Chebyshev type-2 • No. of Channels : 21 (1 LPF +20 BPF) • Bandwidth : 400Hz • Order of filter : 5 Cont…

  9. Cont..

  10. Channel vocoder synthesizer(Uniform Bandwidth)

  11. Waveform of the tamil word /அம்மா/

  12. Filtered signal & its envelope

  13. TRAIN OF IMPULSE Pitch period =0.0063sec

  14. Modulated and synthesized filter output

  15. Original & synthesized speech signal

  16. Critical band is the smallest band of frequencies that activate the same part of basilar membrane and human ear can able to discriminate two tones that differ in critical bands. CRITICAL BANDWIDTH FILTER BANK BASED ACOUSTIC CI MODEL

  17. Filter bank is designed based on critical bands of the human auditory system. • The critical band of each auditory band-pass filter is computed using equivalent rectangular bandwidth (ERB). • If the center frequencies (fc) of filters are known, then the corresponding ERBs are calculated using the following formula, ERB=24.7((0.00437*fc) +1) (1) Design of ci model based on critical bands

  18. Input word/அம்மா/

  19. Waveform of input and synthesized speech for the tamil word /அம்மா/

  20. Mean square difference between uniform bandwidth filter-based CI model and auditory CI model

  21. Mean opinion score(mos) for UBW & cbw system

  22. The Critical band CI model is performed well when compared with the Uniform bandwidth filter bank method based on the mean square difference & Mean opinion score. CONCLUSION

  23. P. Vijayalakshmi , T. Nagarajan and PreethiMahadevan,(2011), “ Improving Speech Intelligibility in Cochlear Implants using Acoustic Models’’, WSEAS TRANSACTIONS on SIGNAL PROCESSING, Issue 4, Volume 7, October 2011, pp. 131 – 144. • Gladston, A.R.; Vijayalakshmi, P.; Thangavelu, N., "Improving speech intelligibility in cochlear implants using vocoder-centric acoustic models," Recent Trends In Information Technology (ICRTIT), 2012 International Conference on , vol., no., pp.66,71, 19-21 April 2012. • D. K. Eddington, W. M. Rabinowitz, and L.Dellzome, “Sound Processing for Cochlear Implants”, in Proceedings of International IEEE EMBC, 2001, pp. 3449- 3452. • B. Gold and N. Morgan, “Speech and audio signal processing - processing and perception of speech and music”. John Wiley and Sons. Inc., 2000. • P. C. Loizou, “Speech processing in vocoder-centric cochlear implants” Cochlear and Brainstem Implants. AdvOtorhinolaryngol. Basel, Karger, vol 64, pp 109–143, 2006. • P.C. Loizou, ”Mimicking the human ear” IEEE Signal Processing magazine, vol. 15, no. 5, Sep. 1998, pp. 101-130 References

  24. Thank You

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