Modern Methods of Speech Processing
Ravi Ramachandran, Richard Mammone
Springer Science & Business Media, Oct 31, 1995 - Technology & Engineering - 470 pages
The term speech processing refers to the scientific discipline concerned with the analysis and processing of speech signals for getting the best benefit in various practical scenarios. These different practical scenarios correspond to a large variety of applications of speech processing research. Examples of some applications include enhancement, coding, synthesis, recognition and speaker recognition. A very rapid growth, particularly during the past ten years, has resulted due to the efforts of many leading scientists. The ideal aim is to develop algorithms for a certain task that maximize performance, are computationally feasible and are robust to a wide class of conditions. The purpose of this book is to provide a cohesive collection of articles that describe recent advances in various branches of speech processing. The main focus is in describing specific research directions through a detailed analysis and review of both the theoretical and practical settings. The intended audience includes graduate students who are embarking on speech research as well as the experienced researcher already working in the field. For graduate students taking a course, this book serves as a supplement to the course material. As the student focuses on a particular topic, the corresponding set of articles in this book will serve as an initiation through exposure to research issues and by providing an extensive reference list to commence a literature survey. Expe rienced researchers can utilize this book as a reference guide and can expand their horizons in this rather broad area.
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THE USE OF PITCH PREDICTION IN SPEECH CODING
VECTOR QUANTIZATION OF LINEAR PREDICTOR COEFFICIENTS
LINEAR PREDICTIVE ANALYSIS BY SYNTHESIS CODING
VARIABLE RATE SPEECH CODING
SPEECH RECOGNITION USING NEURAL NETWORKS
DATA FUSION TECHNIQUES FOR SPEAKER RECOGNITION
SPEAKER RECOGNITION OVER TELEPHONE CHANNELS
TEXT TO SPEECH SYNTHESIS
APPROACHES TO IMPROVE AUTOMATIC SPEECH SYNTHESIS
APPLICATIONS OF MODELS
MICROPHONE ARRAY FOR HANDSFREE VOICE COMMUNICATION IN A CAR
THE PITCH MODE MODULATION MODEL AND ITS APPLICATION IN SPEECH PROCESSING
CURRENT METHODS IN CONTINUOUS SPEECH RECOGNITION
LARGE VOCABULARY ISOLATED WORD RECOGNITION
RECENT DEVELOPMENTS IN ROBUST SPEECH RECOGNITION
HOW DO HUMANS PROCESS AND RECOGNIZE SPEECH?
Other editions - View all
acoustic adaptive codebook ADPCM algorithm analysis applications approach articulation average band bandwidth basilar membrane beamforming bit rate CDNTN CELP CELP coder cepstral channel classifier cluster cochlear code vectors codebook coefficients component computed context database decoded delay described diphones distortion DS-BF duration encoded error rate estimated excitation feature vectors Figure filter formant frame frequency function hidden Markov models IEEE IEEE Trans input interpolation kb/s keyword language model linear predictive measure method microphone modulation neural network node noise output parameters perceptual performance phonemes pitch period PMMM postfilter predictor probability Proc procedure QCELP recognition system residual robust samples score Section segments Signal Processing speaker identification speaker recognition speaker verification spectral spectrum speech coding speech quality speech signal subframe synthesis techniques training data training vectors update utterance variable rate vector quantization Viterbi voiced speech vowels waveform word spotting