音響信号処理特論 Advanced Acoustic Signal Processing:In this lecture we are study about Acoustic Speech Signal Processing. First, the mechanism of human speech production and acoustic phonetics such as vowels, the vowel triangle, front, mid, back, diphthongs, semivowels, liquids, glides, consonants, nasals, stops (Voiced, Unvoiced), fricatives (voiced, unvoiced), whisper, afficates are explained. Then, the acoustic theory of speech production, sound propagation Portnoff-Sondhi differential equations, uniform lossless tube and formants, effects of losses in the vocal tract, the effect of nasal coupling, excitation of sound in the vocal tract, lossless tube models, wave propagation in concatenated lossless tubes, relationship to digital filter and digital model for speech signals are explained. Next, time-domain methods for speech processing, short-time energy, zero-crossing rate, speech vs. silence discrimination, pitch period estimation, short-time autocorrelation function, short-time average magnitude difference function (AMDF), pitch period estimation using the autocorrelation function, median smoothing are explained. Then, digital representation of the speech waveform, PCM, MPCM, Adaptive quantization, Delta modulation DPCM, ADPCM will be discussed. Next, Homomorphic speech processing, Cepstrum, pitch detection, formal estimation, Homomorphic vocoder are aimed for studies. Also, Linear Predictive Coding (LPC) of speech, LPC analysis, the autocorrelation method, the covariance method, computation of gain for LPC model, Cholesky decomposition solution of LPC equations, Durbin’s recursive solution, lattice formulations, the prediction error signal, relation between the various speech parameters, synthesis of speech from LP parameters, pitch and formant analysis using LPC, LPC vocoder are presented. At last, digital speech processing for Man-Machine Communication by voice and special projects in Acoustic Echo and Noise Cancellation , etc. will be studied.
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1Introduction to speech and signal processing 2The mechanism of human speech production. 3Phonems in American English, Vowel triangle, Diphthongs, Liquids, Glides. 4Consonants, Nasals, Stops, Fricatives, Whisper, Afficates. 5Sound propagation Portnoff-Sondhi equations, Lossless tube, Formants, Losses. 6Nasal coupling, Excitation, Digital model for speech signals. 7Energy, Zero Crossing, Silence, Pitch. 8Autocorrelation, AMDF. 9Pitch period estimation, Median smoothing. 10PCM, Adaptive quantization, Delta modulation. 11Homomorphic Speech Processing, Cepstrum, Pitch detection, Formal estimation, The Homomorphic Vocoder 12LPC of speech, Autocorrelation method 13Covariance method, Computation of gain for LPC model. 14Cholesky, Durbin, Lattice formulations 15The Prediction Error Signal, Synthesis of speech from LP parameters, Pitch and formant by LPC, LPC vocoder. 16Man-Machine Communication by voice, Special Projects in Acoustic Echo and Noise Cancellation, etc.
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