Developing HMM-based recognizers with ESMERALDA
Fink GA (1999)
In: Text, Speech and Dialogue : second international workshop ; proceedings. Matoušek V (Ed); Lecture notes in computer science, 1692 : Lecture notes in artificial intelligence. Berlin: Springer: 229-234.
Konferenzbeitrag
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Autor*in
Fink, Gernot A.
Herausgeber*in
Matoušek, Václav
Einrichtung
Abstract / Bemerkung
ESMERALDA is an integrated environment for the development of speech recognition systems. It provides a powerful selection of methods for building statistical models together with an efficient incremental recognizer. In this paper the approaches adopted for estimating mixture densities, Hidden Markov Models, and n-gram language models are described as well as the algorithms applied during recognition. Evaluation results on a speaker independent spontaneous speech recognition task demonstrate the capabilities of ESMERALDA.
Erscheinungsjahr
1999
Titel des Konferenzbandes
Text, Speech and Dialogue : second international workshop ; proceedings
Serien- oder Zeitschriftentitel
Lecture notes in computer science, 1692 : Lecture notes in artificial intelligence
Seite(n)
229-234
Konferenz
2nd Workshop on Text, Speech and Dialogue
Konferenzort
Pilsen
Konferenzdatum
1999-09-13 – 1999-09-17
ISBN
3-540-66494-7
ISSN
0302-9743
Page URI
https://pub.uni-bielefeld.de/record/1619023
Zitieren
Fink GA. Developing HMM-based recognizers with ESMERALDA. In: Matoušek V, ed. Text, Speech and Dialogue : second international workshop ; proceedings. Lecture notes in computer science, 1692 : Lecture notes in artificial intelligence. Berlin: Springer; 1999: 229-234.
Fink, G. A. (1999). Developing HMM-based recognizers with ESMERALDA. In V. Matoušek (Ed.), Lecture notes in computer science, 1692 : Lecture notes in artificial intelligence. Text, Speech and Dialogue : second international workshop ; proceedings (pp. 229-234). Berlin: Springer.
Fink, Gernot A. 1999. “Developing HMM-based recognizers with ESMERALDA”. In Text, Speech and Dialogue : second international workshop ; proceedings, ed. Václav Matoušek, 229-234. Lecture notes in computer science, 1692 : Lecture notes in artificial intelligence. Berlin: Springer.
Fink, G. A. (1999). “Developing HMM-based recognizers with ESMERALDA” in Text, Speech and Dialogue : second international workshop ; proceedings, Matoušek, V. ed. Lecture notes in computer science, 1692 : Lecture notes in artificial intelligence (Berlin: Springer), 229-234.
Fink, G.A., 1999. Developing HMM-based recognizers with ESMERALDA. In V. Matoušek, ed. Text, Speech and Dialogue : second international workshop ; proceedings. Lecture notes in computer science, 1692 : Lecture notes in artificial intelligence. Berlin: Springer, pp. 229-234.
G.A. Fink, “Developing HMM-based recognizers with ESMERALDA”, Text, Speech and Dialogue : second international workshop ; proceedings, V. Matoušek, ed., Lecture notes in computer science, 1692 : Lecture notes in artificial intelligence, Berlin: Springer, 1999, pp.229-234.
Fink, G.A.: Developing HMM-based recognizers with ESMERALDA. In: Matoušek, V. (ed.) Text, Speech and Dialogue : second international workshop ; proceedings. Lecture notes in computer science, 1692 : Lecture notes in artificial intelligence. p. 229-234. Springer, Berlin (1999).
Fink, Gernot A. “Developing HMM-based recognizers with ESMERALDA”. Text, Speech and Dialogue : second international workshop ; proceedings. Ed. Václav Matoušek. Berlin: Springer, 1999. Lecture notes in computer science, 1692 : Lecture notes in artificial intelligence. 229-234.
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