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Automated speech-recognition technology has become more common with the popularity of virtual assistants like Siri, but many of these systems only perform well with the most widely spoken of the world...
In this paper, we propose a state-dependent tied mixture (SDTM) models with variable codebook size to improve the model robustness for accented p honetic variations while maintaining model discrimina...
Aiming at building a dialectal Chinese speech rec ognizer from a standard Chinese speech recognizer with a small am ount of dialectal Chinese speech, a novel, simple but effective acoustic modeling me...
In this paper, we propose a novel approach to robust speech recognition in noisy environments by discriminating the observation vectors. In conventional HMM-based speech recognition, all the observ...
In this paper a real-world continuous-manner 2000-phrase speaker-independent Chinese speech recognition system is introduced, the vocabulary of which consists of 2000 Chinese phrases and each phrase i...
A log-index weighted cepstral distance measure is proposed and tested in speaker-independent and speaker-dependent isolated word recognition systems using statistic techniques. The weights for the cep...
In this paper a real-world speaker-independent speech recognition system with2000 Chinese phrases is introduced. Several new technologies, such as knowledge leading recognition strategy, the CDCPM aco...
In this paper a new statistic modelnamed Center-Distance Continuous Probability Model(CDCPM) is proposed for speech recognition, which is based on Center-Distance Normal(CDN) distribution. In a CDCPM,...

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