Empirical comparison of analog and digital auditory preprocessing for automatic speech recognition

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn 5, Issue , 2002, Pages V/77-V/80

  Massengill, Todd M ^a   Wilson, Denise M ^a   Hasler, Paul E ^b   Graham, David W ^b  

^a University of Washington   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BANDPASS FILTERS; SPECTRUM ANALYSIS; SPEECH RECOGNITION; VLSI CIRCUITS;

ANALOG SPEECH RECOGNITION; DIGITAL SPEECH RECOGNITION;

INTEGRATED CIRCUIT LAYOUT;

EID: 0036293180     PISSN: 02714310     EISSN: None     Source Type: Journal    
DOI: 10.1109/ISCAS.2002.1010644     Document Type: Article

References (11)

1. Neuromorphic electronic systems
2. Speech recognition experiments with silicon auditory models
3. An analog VLSI architecture for auditory based feature extraction
4. Signal modeling techniques in speech recognition
5. HMM-based speech recognition using state-dependent, discriminatively derived transforms on mel-warped DFT features
6. Capacitively-coupled current conveyer second-order sections for continuous-time bandpass filtering and cochlea modeling
7. DARPA TIMIT acoustic-phonetic continuous speech corpus
8. Maximum likelihood from incomplete data via the EM algorithm
9. A tutorial on hidden Markov models and selected applications in speech recognition