Speaker-Independent Speech Recognition using Visual Features

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker independent audio-visual continuous speech recognition

The increase in the number of multimedia applications that require robust speech recognition systems determined a large interest in the study of audio-visual speech recognition (AVSR) systems. The use of visual features in AVSR is justified by both the audio and visual modality of the speech generation and the need for features that are invariant to acoustic noise perturbation. The speaker inde...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

speaker independent speech recognition using hidden markov models for persian isolated words

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Contextual invariant-integration features for improved speaker-independent speech recognition

This work presents a feature-extraction method that is based on the theory of invariant integration. The invariant-integration features are derived from an extended time period, and their computation has a very low complexity. Recognition experiments show a superior performance of the presented feature type compared to cepstral coefficients using a mel filterbank (MFCCs) or a gammatone filterba...