The central issues in the study of speech recognition by human listeners (HSR) and of automatic speech recognition (ASR) are clearly comparable; nevertheless the research communities that concern themselves with ASR and HSR are largely distinct. This paper compares the research objectives of the two fields, and attempts to draw informative lessons from one to the other.

This essay investigates the design of automatic speech recognition (ASR) technologies as a site at which the human qualities of ‘hearing’ and ‘understanding’ are mimicked in machines. On the basis of an observational study, it explains the major work components and debates in ASR, such as research paradigms and strategies, as well as the intricacies of instruments and experimentation. Key argum...

In previous work, we developed a closed-loop speech chain model based on deep learning, in which the architecture enabled the automatic speech recognition (ASR) and text-to-speech synthesis (TTS) components to mutually improve their performance. This was accomplished by the two parts teaching each other using both labeled and unlabeled data. This approach could significantly improve model perfo...

The primary method of interaction between individuals is communication. In the case speech-impaired people, communication them and normal people not understandable by latter as former communicates through gestures sign language. speech-impaired. Today, Internet Things (IoT) can be used for gesture recognition to convert into audible speech. this project, a prototype created such that or languag...

Speech recognition in reverberant environments is a difficult task. Reverberation has the effect of degradation of recognition performance due to acoustic mismatch. We present an optimization method of the wavelet parameters for dereverberation in automatic speech recognition (ASR). By tuning the wavelet parameters to improve the acoustic model likelihood, waveletbased dereverberation methods b...

We present an optimization method of the wavelet parameters for dereverberation in automatic speech recognition (ASR). By tuning the wavelet parameters to improve the acoustic model likelihood, wavelet-based dereverberation methods become more effective in the ASR application. We evaluate several existing wavelet-based methods and optimize them, based on our proposed scheme. Experimental evalua...