Journal: Computer Speech & Language

Volume 10, Issue 4

229 -- 247Ji Ming, F. Jack Smith. Modelling of the interframe dependence in an HMM using conditional Gaussian mixtures
249 -- 264Mark J. F. Gales, Philip C. Woodland. Mean and variance adaptation within the MLLR framework
265 -- 293Giuseppe Riccardi, Roberto Pieraccini, Enrico Bocchieri. Stochastic automata for language modeling
295 -- 321Z. Li, Gilles Boulianne, P. Labute, M. Barszcz, Harinath Garudadri, Patrick Kenny. Bi-directional graph search strategies for speech recognition

Volume 10, Issue 3

155 -- 185Kenneth N. Ross, Mari Ostendorf. Prediction of abstract prosodic labels for speech synthesis
187 -- 228Ronald Rosenfeld. A maximum entropy approach to adaptive statistical language modelling

Volume 10, Issue 2

75 -- 93Fariborz Alipour, Chenwu Fan, Ronald C. Scherer. A numerical simulation of laryngeal flow in a forced-oscillation glottal model
95 -- 105Qiang Huo, Chorkin Chan. A study on the use of bi-directional contextual dependence in Markov random field-based acoustic modelling for speech recognition
107 -- 116Tomoko Matsui, Tomohito Kanno, Sadaoki Furui. Speaker recognition using HMM composition in noisy environments
117 -- 132Masahiro Tonomura, Tetsuo Kosaka, Shoichi Matsunaga. Speaker adaptation based on transfer vector field smoothing using maximum a posteriori probability estimation
133 -- 153Robert Wing Pong Luk, Robert I. Damper. Stochastic phonographic transduction for English

Volume 10, Issue 1

1 -- 22Istvan Pintér. Perceptual wavelet-representation of speech signals and its application to speech enhancement
23 -- 36Mohamed Afify, Yifan Gong, Jean-Paul Haton. Estimation of mixtures of stochastic dynamic trajectories: application to continuous speech recognition
37 -- 54YongHong Yan, Etienne Barnard, Ronald A. Cole. Development of an approach to automatic language identification based on phone recognition
55 -- 74Tetsuo Kosaka, Shoichi Matsunaga, Shigeki Sagayama. Speaker-independent speech recognition based on tree-structured speaker clustering