Voice Recognition by ComputerTectum Verlag DE, 2003 - 110 pages |
Contents
SIGNAL PROCESSING TECHNIQUES IN SPEECH RECOGNITION | 19 |
EXPERIMENTS AND RESULTS | 63 |
VOICE FOR BIOMETRIC APPLICATIONS | 97 |
103 | |
About the Author | 109 |
Common terms and phrases
acoustic algorithm analysis autocorrelation coefficients autocorrelation function automatic average bandwidth biometrical cepstral coefficients cepstrum changes characteristics codebook computed corresponding Czech defined detection digital signal processing distance measure effect emotional endpoint error rate estimated Feature Extraction feature vectors female filter FonLabel formant frame Frequency kHz fricatives fundamental frequency fundamental frequency Fo human identification rate imitator individual input language linear prediction log area ratio long-time spectrum LPC coefficients LSP frequencies mel scale method microphone msec nasals noise normal original speaker parameters phonemes Plosives preemphasis recognition accuracy recognition performance recorded representations samples segments sex identification shown in Fig sounds speaker identification speaker recognition speaker verification spectrograms speech data speech processing Speech Signal Process spoken stressed speech techniques telephone test utterances threshold unknown speaker unvoiced values variation vocal tract voice recognition voiceprint vowels waveform words zero-crossing rate