The "digits" small-vocabulary task is important for many telephone-based applications such as computer-assisted long-distance dialing or credit-card billing, requires extremely high accuracy, and focuses research on acoustic-level processing. On the other hand, in many other tasks a speaker-independent domain-specific vocabulary (such as "collect call", "calling card", "operator", or "help") needs to be recognized. For such tasks, a "general-purpose" (gp) recognizer that is capable of recognizing all permissible phoneme strings in a language is required. The more recent results obtained by the application of the CSLU Toolkit frame- based hybrid HMM/ANN architecture on these recognition tasks for the Italian language are described. This work is inserted in a project whose aim is to contribute to the " Italianization " of the CSLU Toolkit and to support the dissemination of these tools and technologies.

Towards the Italian CSLU Toolkit

Cosi P;Tesser F
1999

Abstract

The "digits" small-vocabulary task is important for many telephone-based applications such as computer-assisted long-distance dialing or credit-card billing, requires extremely high accuracy, and focuses research on acoustic-level processing. On the other hand, in many other tasks a speaker-independent domain-specific vocabulary (such as "collect call", "calling card", "operator", or "help") needs to be recognized. For such tasks, a "general-purpose" (gp) recognizer that is capable of recognizing all permissible phoneme strings in a language is required. The more recent results obtained by the application of the CSLU Toolkit frame- based hybrid HMM/ANN architecture on these recognition tasks for the Italian language are described. This work is inserted in a project whose aim is to contribute to the " Italianization " of the CSLU Toolkit and to support the dissemination of these tools and technologies.
1999
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Italian Literacy Tutor
CSLU Speech Toolkit
ASR
TTS
Facial Animation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/18608
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