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In practical automatic speech recognition (ASR) systems, it is difficult to recognize words that are with low-frequency in the language model (LM) training data. Ironically, these words tend to be highly important as they are often domain-specific name entities. In order to meet this challenge, we present a novel approach that enhances the weights of these words by borrowing information from some...
According to HMM's strong representation capability of speech signal and GMM's better transformation effect, a method for LSF conversion using HMM combined with GMM is proposed. The theoretical derivation and flow diagram of this algorithm are offered, and gauss model is introduced to achieve the prosodic features transformation. The experiment is applied on two segment speech, and the result reveals...
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