Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) systems, which maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training / recognition effort feasible and improving speech recognition performance. The book provides an efficient general framework to incorporate additional knowledge sources into state-of-the-art statistical ASR systems. It can be applied to many existing ASR problems with their respective model-based likelihood functions in flexible ways.

Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering, 42)

Computers & Technology

Minker, Wolfgang

Sakti, Sakriani

Markov, Konstantin

Nakamura, Satoshi

Computer Science

Springer

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