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Using Phoneme Acoustic Models for Fast Word Spotting

Veiga, A. ; Perdigão, F. ; Sá, L. V.

Using Phoneme Acoustic Models for Fast Word Spotting, Proc Portuguese Conf. on Pattern Recognition - RecPad, Coimbra, Portugal, Vol. -, pp. 77 - 78, October, 2012.

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Abstract
This paper presents a fast word spotting approach based on phoneme acoustic models. This approach simplifies the decoding algorithm of speech recognition process using a generic model and a model of the word to be detected. The ratio between the word model likelihood and the generic model likelihood is given to a classifier which was trained to detect relevant peaks values that indicate word occurrences. Experiments were performed on continuous speech utterances of the Portuguese TECNOVOZ database obtaining an accuracy of 94.8% against 1.0% false alarm. This result prompted the application of this technique in thousands of words or multi-word expressions to TV broadcast news programs which is expected to enhance our acoustic models.