Measuring information provided by language model and acoustic model in probabilistic speech recognition: Theory and experimental results

Ferretti, Marco; Maltese, Giulio; Scarci, Stefano

doi:10.1016/0167-6393(90)90028-8

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction2

Citation Types

Supporting

Mentioning

Contrasting

Year Published

1992

2002

Publication Types

Select...

Other3

Article1

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The inadequacy of perplexity is widely acknowledged, and the search for a substitute is the subject of previous research (Chen, Beeferman & Rosenfeld, 1998;Ferretti, Maltese & Scarci, 1990;Ito, Kohda & Ostendorf, 1999;Iyer, Ostendorf & Meteer, 1997).…”

Section: Introductionmentioning

confidence: 98%

Theory and practice of acoustic confusability

Printz¹,

Olsen

2002

Computer Speech & Language

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 98%

Theory and practice of acoustic confusability

Printz¹,

Olsen

2002

Computer Speech & Language

View full text Add to dashboard Cite

“…But to do so, we need underlying rules. Moreover, coping with phoneme perplexity, which is crucial to speech recognition, with rules created frmn a dialogue corpus, requires additional research [8].…”

Section: Introductionmentioning

confidence: 99%

Construction of corpus-based syntactic rules for accurate speech recognition

Hosaka

Takezawa

1992

Proceedings of the 14th Conference on Computational Linguistics -

View full text Add to dashboard Cite

This paper describes the syntactic rules which are applied in the Japanese speech recognition module of a speech-to-speech translation system. Japanese is considered to be a free word/phrase order language. Since syntactic rules are applied as constraints to reduce the search space in speech recognition, applying rules which take into account all possible phrase orders can have almost the same effect as using no constraints. Instead, we take into consideration the recognition weaknesses of certain syntactic categories and treat them precisely, so that a miuimal number of rules can work most effectively. In this paper we first examine which syntactic categories are easily misrecognized. Second, we consult our dialogue corpus, in order to provide the rules with great generality. Based ou both stndies, we refine the rules. Finally, we verify the validity of the refinement through speech recognition experiments. 1 Formal noun~ : keishiki-meishi in Japanese. Conjunctive postpositions : setsuzoku-joshi in Japanese.

show abstract

An automatic technique to include grammatical and morphological information in a trigram-based statistical language model

Maltese¹,

Mancini²

1992

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing

View full text Add to dashboard Cite

Measuring information provided by language model and acoustic model in probabilistic speech recognition: Theory and experimental results

Cited by 4 publications

References 9 publications

Theory and practice of acoustic confusability

Theory and practice of acoustic confusability

Construction of corpus-based syntactic rules for accurate speech recognition

An automatic technique to include grammatical and morphological information in a trigram-based statistical language model

Contact Info

Product

Resources

About