Speech feature extraction method representing periodicity and aperiodicity in sub bands for robust speech recognition - Ishizuka, K.; Miyazaki, N. (2004 IEEE International Conference on Acoustics, Speech and Signal Processing, 2004)
Keywords: 1f noise; Applied sciences; Automatic speech recognition; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Feature extraction; Filter bank; Filtering; Information, signal and communications theory; Power harmonic filters; Robustness; Signal and communications theory; Signal design; Signal processing; Signal, noise; Spatial databases; Speech processing; Speech recognition; Telecommunications and information theory; Harmonic; Speech analysis; Filtering; Acoustic signal; Error rate; Comb filters; Verbal perception; Output signal; Japanese; Cepstral analysis; Audio signal; Vowel; Speech recognition; Database; Signal processing; Feature extraction; Filter bank; Automatic recognition; Speech processing