Journal ArticleDOI
A procedure for adaptive control of the interaction between acoustic classification and linguistic decoding in automatic recognition of continuous speech
Charles C. Tappert,N. R. Dixon +1 more
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TLDR
In this article, an adaptive control procedure is described which is intended to improve both acoustic analysis and linguistic decoding in automatic recognition of continuous speech by bringing into agreement data available at each of these stages.About:
This article is published in Artificial Intelligence.The article was published on 1974-06-01. It has received 4 citations till now. The article focuses on the topics: Phonetic transcription & Decoding methods.read more
Citations
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Journal ArticleDOI
Speech Recognition: A Tutorial Overview
TL;DR: The nature of some of these advances and the state of the art of automatic speech recognition are explained and an introduction to the state-of-the-art is provided.
Journal ArticleDOI
Speaker recognition from an unknown utterance and speaker-speech interaction
TL;DR: Using statistical decision theory, various types of tests for speaker verification and identification using only one phoneme segment or the entire utterance are developed.
Speaker recognition from an unknown utterance and speaker-speech interaction
TL;DR: In this paper, the authors developed various types of tests for speaker verification and identification using only one phoneme segment or the entire utterance using statistical decision theory, and considered the role of speaker variability in speech recognition and recognize its complementarity to the problem of optimal choice of phonemes for speaker recognition.
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Experiments with a tree-search method for converting noisy phonetic representation into standard orthography
TL;DR: A tree-search algorithm was utilized in decoding the noisy phonetic output of an acoustic processor (AP) for purposes of automatic recognition of continuous speech and substantial improvement over earlier performance on the same data was realized.
References
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Aspects of speech recognition by computer
TL;DR: Techniques and methodology which are useful in achieving close to real-time recognition of speech by a computer are described, which achieved accurate recognition in all the trial cases.
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Application of sequential decoding for converting phonetic to graphic representation in automatic recognition of continuous speech(ARCS)
TL;DR: A graph search procedure, based on the Fano algorithm, is used to convert machine-contaminated phonetic descriptions of speaker performance into standard orthography and preliminary results are presented and discussed.
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A Preliminary Investigation of Adaptive Control in the Interaction Between Segmentation and Segment Classification in Automatic Recognition of Continuous Speech
TL;DR: A pilot study is described which employs feedback to control the interaction of segmentation and segment classification in a system under development for automatic recognition of continuous speech.
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Strategies for Recognition of Spoken Sentences from Visual Examination of Spectrograms
TL;DR: The nature of these rules are examined and a framework in terms of which these two kinds of rules are specified is described, emphasis being placed on the phonetic and lexical levels of description.
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Strategic Compromise and Modeling in Automatic Recognition of Continuous Speech: A Hierarchical Approach
N. R. Dixon,Charles C. Tappert +1 more
TL;DR: This work presents a meta-analyses of several approaches towards automatic recognition of Continuous Speech and shows clear trends in the number of approaches taken and the accuracy and efficiency of these approaches.