Synthesis‐based recognition of continuous speech

Continuous Audio-visual Speech Recognition Continuous Audio-visual Speech Recognition

We address the problem of robust lip tracking, visual speech feature extraction, and sensor integration for audiovisual speech recognition applications. An appearance based model of the articulators, which represents linguistically important features, is learned from example images and is used to locate, track, and recover visual speech information. We tackle the problem of joint temporal model...

Robust Continuous Speech Recognition

The pnrnary objective of this basic research program is to develop robust methods and models for speaker-independent acoustic recognition of spontaneously-produced, :ontinuous speech. The work has focussed on developing accurate and detailed models of phonemes and their coarticulation for the purpose of large-vocabulary continuous speech recognition. Important goals of this work are to achieve ...

Continuous Speech Recognition

Continuous speech recognition using syllables

The vast majority of work in continuous speech recognition uses phoneme-like units as the basic recognition component. The work presented here investigates the practicability of syllable-like units as the building blocks for recognition. A phonetically annotated telephony database is analysed at the syllable level, and a set of syllable-based HMMs are built. Refinements including the introducti...

Continuous speech recognition for clinicians.

The current generation of continuous speech recognition systems claims to offer high accuracy (greater than 95 percent) speech recognition at natural speech rates (150 words per minute) on low-cost (under $2000) platforms. This paper presents a state-of-the-technology summary, along with insights the authors have gained through testing one such product extensively and other products superficial...