Continuous speech recognition

This group works towards automatic transcription of continuous speech with a vocabulary and syntax as unrestricted as possible. It is a long-term effort; however, an experimental system is operational. The acoustic processor contains a spectrum analyzer based on the Fast Fourier Transform and a phone segmenter/recognizer which makes use of transitional and steady-state information in its classification. The linguistic processor accepts an imperfect string of phones and produces an estimated transcription of the speech input.

[1]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[2]  George E. Heidorn,et al.  Natural language inputs to a simulation programming system: An introduction , 1971 .

[3]  Harvey F. Silverman,et al.  A parametrically controlled spectral analysis system for speech , 1974 .

[4]  George E. Heidorn.  Augmented phrase structure grammars , 1975, TINLAP '75.

[5]  Lalit R. Bahl,et al.  Design of a linguistic statistical decoder for the recognition of continuous speech , 1975, IEEE Trans. Inf. Theory.

[6]  Lalit R. Bahl,et al.  Decoding for channels with insertions, deletions, and substitutions with applications to speech recognition , 1975, IEEE Trans. Inf. Theory.

[7]  Martin Mikelsons.  Computer assisted application definition , 1975, POPL '75.

[8]  N. Dixon,et al.  A description of a parametrically controlled modular structure for speech processing , 1975 .

[9]  J. Baker,et al.  The DRAGON system--An overview , 1975 .

[10]  Dick H. Fredericksen.  An organization for a dictionary of senses , 1975, IJCAI 1975.

[11]  Harvey F. Silverman,et al.  An objective parallel evaluator of segmentation/Classification performance for multiple systems , 1975 .

[12]  N. R. Dixon,et al.  Preliminary results on the performance of a system for the automatic recognition of continuous speech , 1976, ICASSP.

[13]  F. Jelinek,et al.  Continuous speech recognition by statistical methods , 1976, Proceedings of the IEEE.

[14]  George E. Heidorn.  Automatic Programming Through Natural Language Dialogue: A Survey , 1976, IBM J. Res. Dev..

[15]  N. Dixon,et al.  A comparison of several speech-spectra classification methods , 1976 .

[16]  Harvey F. Silverman,et al.  A general language-operated decision implementation system (GLODIS): Its application to continuous-speech segmentation , 1976 .

[17]  Harvey F. Silverman,et al.  The 1976 modular acoustic processor (MAP) : Diadic segment classification and final phonemic string estimation , 1976, ICASSP.