Phase-based Speech Processing
This is the first book that takes a detailed look at the importance of phase in the design of speech processing systems. Phase, in comparison with amplitude, is often ignored for speech recognition applications. Thus, this book highlights some of the important ways in which the phase of speech signals can be utilized for sound localization, enhancement, and recognition.This book also discusses the state-of-the-art research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech recognition, the recognition of speech and the processing of speech by humans, as well as the importance of phase in human speech recognition and multi-microphone phase-based speech processing.
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Signal Processing Basics
SingleMicrophone Speech Processing
MultiMicrophone PhaseBased Speech Processing
ˆf(t Action Potential amplitude assume beamforming cerebral cortex chapter cochlea computers continuous time signal deﬁned DFT points discrete signal discrete time signal distance diﬀerence domain signal DTFT equation example F(uj fd[n ﬁgure ﬁlter ﬁnd ﬁnite Fourier operator frequency domain human ear human speech impulse response impulse train inner ear inter-microphone distance Inverse Fourier Transform MFCCs middle ear observation points original signal perfect phase phase noise factor phase wrapping phase-error Plot raised cosines recognition accuracy recognition error rate reverberation room impulse response sampled signal sampling frequency sampling interval second microphone shown in Figure signal f(t signal obtained signal processing signiﬁcant signiﬁcantly SNR gain sound localization sound signal sound source sound waves speech enhancement speech processing speech recognition systems STFT TDOA TDOA estimation vibration wavefront window function xxx xxx xxx xxxx xxxx xxxx xxxxx xxxxx xxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx