Paper Title:Speech Recognition using Frequency Transformations
Authors: Jorge Salomon Fuentes, Dr. Chit-Sang Tsang
Every person has different speech utterances based on age, sex, tone etc. An improvement in speech recognition using frequency transformation and pattern recognition is proposed with increased accuracy and simple hardware. The performance of the system is shown using a database of 124 words. Different models are used for the different aspects of speech recognition in such a way that their combination improves the efficiency of the system. The speech patterns of a single user was used to recognize the 124 words stored in the database.
The algorithm developed was speaker and language independent. A study to implement it in different languages is in progress.The accuracy of the algorithm was measured using a training kit
Authors: Jorge Salomon Fuentes, Dr. Chit-Sang Tsang
Every person has different speech utterances based on age, sex, tone etc. An improvement in speech recognition using frequency transformation and pattern recognition is proposed with increased accuracy and simple hardware. The performance of the system is shown using a database of 124 words. Different models are used for the different aspects of speech recognition in such a way that their combination improves the efficiency of the system. The speech patterns of a single user was used to recognize the 124 words stored in the database.
The algorithm developed was speaker and language independent. A study to implement it in different languages is in progress.The accuracy of the algorithm was measured using a training kit
Good paper!
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