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Speech Recognition: Theory and C++ Implementation
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About Speech Recognition: Theory And C++ Implementation
Automatic Speech Recognition (ASR) is the enabling technology forhands-free dictation and voice-triggered computer menus. It isbecoming increasingly prevalent in environments such as privatetelephone exchanges and real-time information services. SpeechRecognition introduces the principles of ASR systems, including thetheory and implementation issues behind multi-speaker continuousspeech recognition. Focusing on the algorithms employed incommercial and laboratory systems, the treatment enables the readerto devise practical solutions for ASR system problems. It addressesin detail C++ programming techniques used to develop ASRapplications, thus offering skills that will prove useful in anylarge C++ based software project. Possible extensions of thewell-established ASR technology are highlighted, based on "HiddenMarkov Models" applied to fields such as modelling and predictionof econometric series. Features include:* Accompanying website containing all C++ source code of a completelaboratory multi-speaker continuous-speech ASR system (e.g.Initialisation, Training, Recognition, Evaluation, etc.) www.wiley.com/go/becchetti_speech* Detailed theoretical, mathematical and technical explanations ofASR* A practical account of the functioning of ASRA crucial source of information for researchers, developers andproject managers involved with ASR systems, Speech Recognition isalso structured for use by students of digital signal processing,speech recognition and C++ programming techniques.
