Philadelphia, PA, USA
The 4th International Conference on Spoken Language Processing, Philadelphia, PA, USA, October 3-6, 1996. ISCA 1996
: The comparative study of spoken-language processing.
, Gilles Adda
: On designing pronunciation lexicons for large vocabulary, continuous speech recognition.
Multimodal ASR (Face and Lips)
, Sami Boudelaa
: How facilitatory can lexical information be during word recognition? evidence from moroccan arabic.
Alette P. Haveman
: Effects of frequency on the auditory perception of open- versus closed-class words.
Edward T. Auer
, Lynne E. Bernstein
: Lipreading supplemented by voice fundamental frequency: to what extent does the addition of voicing increase lexical uniqueness for the lipreader?
Phonetics, Transcription, and Analysis
: Perceptual contrast in the Korean and English vowel system normalized.
, Mehdi Meftah
: Cross-language effects of lexical stress in word recognition: the case of Arabic English bilinguals.
Spoken Language Processing for Special Populations
: Clinical applications of computer-based speech training for children with hearing impairment.
D. R. Campbell
: Sub-band adaptive speech enhancement for hearing aids.
Dialogue Special Sessions
: Modeling of spoken dialogue with and without visual information.
: Introducing linguistic constraints into statistical language modeling.
Feature Extraction for Speech Recognition
Don X. Sun
: Feature dimension reduction using reduced-rank maximum likelihood estimation for hidden Markov models.
: Using multi-level segmentation coefficients to improve HMM speech recognition.
: Inclusion of temporal information into features for speech recognition.
, Gérard Chollet
: New cepstral representation using wavelet analysis and spectral transformation for robust speech recognition.
: New fast wavelet packet transform algorithms for frame synchronized speech processing.
Speech Production - Measurement and Modeling
Speech Coding / HMMs and NNs in ASR
Gavin C. Cawley
: An improved vector quantization algorithm for speech transmission over noisy channels.
: An application of recurrent neural networks to low bit rate speech coding.
Hwan Jin Choi
, Yung-Hwan Oh
: Speech recognition using an enhanced FVQ based on a codeword dependent distribution normalization and codeword weighting by fuzzy objective function.
, Panu Somervuo
: Using the self-organizing map to speed up the probability density estimation for speech recognition with mixture density HMMs.
Ann K. Syrdal
: Acoustic variability in spontaneous conversational speech of american English talkers.
: Segmentation strategies for spoken language recognition: evidence from semi-bilingual Japanese speakers of English.
NNs and Stochastic Modeling