Open AccessProceedings Article
The Phonetic Typewriter.
Toshiyuki Sakai,Shuji Doshita +1 more
- pp 445-450
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This article is published in IFIP Congress.The article was published on 1962-01-01 and is currently open access. It has received 46 citations till now.read more
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Automatic Speech Recognition - A Brief History of the Technology Development
TL;DR: Based on major advances in statistical modeling of speech in the 1980s, automatic speech recognition systems today find widespread application in tasks that require a human-machine interface, such as automatic call processing in the telephone network and query-based information systems that do things like provide updated travel information, stock price quotations, weather reports, etc.
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50 Years of Progress in Speech and Speaker Recognition Research
TL;DR: The major themes and advances made in the past fifty years of research are surveyed to provide a technological perspective and an appreciation of the fundamental progress that has been accomplished in this important area of speech communication.
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Automatic Speech Recognition: A Review
Shipra J. Arora,Rishi Pal Singh +1 more
TL;DR: The main objective of the review paper is to bring to light the progress made for ASRs of different languages and the technological viewpoint of ASR in different countries and to compare and contrast the techniques used in various stages of Speech recognition and identify research topic in this challenging field.
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Automatic recognition and understanding of spoken language - a first step toward natural human-machine communication
Bing-Hwang Juang,Sadaoki Furui +1 more
TL;DR: An accurate overview of spoken language technology is presented as a basis to inspire future advances and the limitations of the current technology are discussed, and the challenges that are ahead are pointed out.
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An Overview of End-to-End Automatic Speech Recognition
TL;DR: The article focuses on the principles, progress and research hotspots of three different end-to-end models, which are connectionist temporal classification (CTC)-based, recurrent neural network (RNN)-transducer and attention-based, and makes theoretically and experimentally detailed comparisons.