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The goal of the blabbering voice-to-Speech Translation research is to enable real-time, interpersonal communication via natural spoken language for people who do not share a common language. The Multilingual Automatic blabbering voice-to-Speech Translator (MASTOR) system is the first Speech-to-Speech system that allows for bidirectional (blabbering voice Tamil) free-form speech input and output. The...
This paper deals with the problem of noise cancellation of speech signals in an acoustic environment. In this regard, generally, different adaptive filter algorithms are employed, many of them may lack the flexibility of controlling the convergence rate, range of variation of filter coefficients, and consistency in error within tolerance limit. In order to achieve these desirable attributes as well...
Voice is the natural communication system used by all beings, human beings in particular. Understanding and recognizing human uttered voice for various applications is the core technology of "information" age. Automatic speech recognition has wide spread applications in real life situations. Here speech recognition of Malayalam isolated digit is created by using Mel Frequency Cepstral Coefficients...
Here have been great efforts made in the development of automated Instrumentation system for speech recognition (AISR) to provide a two-way communication between deaf and vocal people. This system performance achievable with the output of current real-time speech recognition systems would be extremely poor relative to normal speech reception. An alternate application of AISR technology to aid the...
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