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International Journal of Speech Technology OnlineFirst articles

07-11-2019

Improved filter bank on multitaper framework for robust Punjabi-ASR system

Robustness of the automatic speech recognition (ASR) system relies upon the accuracy of feature extraction and classification in training phase. The mismatch between training and testing conditions during classification of large feature vectors …

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About this journal

The International Journal of Speech Technology focuses on speech technology and its applications. It promotes research into all aspects of speech input and output, including theory, experiment, testing, base technology, and applications.

This is the only journal presenting papers on the base technology and theory as well as the full spectrum of applications. It fully encompasses the three major technologies: text-to-speech synthesis, automatic speech recognition, and stored (digitized) speech.

A partial list of topics includes applications employing digitized speech, synthesized speech, or automatic speech recognition; technological issues of speech input or output; international and local language implementations of speech synthesis and recognition; new algorithms; interface description techniques, tools, and languages; testing of intelligibility, naturalness, and accuracy; and computational issues in speech technology.

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