Phone deactivation pruning in large vocabulary continuous speech recognition

Large Vocabulary Continuous Speech Recognition :

Large Vocabulary Continuous Speech Recognition

Large vocabulary speaker-independent speech recognition systems being capable of recognizing continuous speech based on hidden Markov models are today’s standard. This review introduces the fundamentals of speech and the underlying speech recognition problems. The three classical approaches, i.e., the acoustic-phonetic, the statistical (pattern) recognition and the artificial intelligence appro...

Advances in Large Vocabulary Continuous Speech Recognition

The development of robust, accurate and efficient speech recognition systems is critical to the widespread adoption of a large number of commercial applications. These include automated customer service, broadcast news transcription and indexing, voice-activated automobile accessories, large-vocabulary voice-activated cellphone dialing, and automated directory assistance. This article provides ...

Research in Large Vocabulary Continuous Speech Recognition

The primary long term goal of speech research at Dragon Systems is to develop algorithms that are capable of achieving very high performance large vocabulary continuous speech recognition. At the same time, we are also concerned to keep the demands of those algorithms for computational power and memory as modest as possible, so that the results of our research can be incorporated into products ...

Hausa large vocabulary continuous speech recognition

We report on our efforts toward an LVCSR system for the African language Hausa. We describe the Hausa text and speech database recently collected as a part of our GlobalPhone corpus [1]. The data was complemented by a large collection of text data crawled from various Hausa websites. We achieve significant improvement by automatically substituting inconsistent or flawed pronunciation dictionary...