Corpus ID: 2122433

Speech Recognition by Machine, A Review

@article{Anusuya2010SpeechRB,
  title={Speech Recognition by Machine, A Review},
  author={M. A. Anusuya and S. K. Katti},
  journal={ArXiv},
  year={2010},
  volume={abs/1001.2267}
}
This paper presents a brief survey on Automatic Speech Recognition and discusses the major themes and advances made in the past 60 years of research, so as to provide a technological perspective and an appreciation of the fundamental progress that has been accomplished in this important area of speech communication. After years of research and development the accuracy of automatic speech recognition remains one of the important research challenges (e.g., variations of the context, speakers, and… Expand
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References

SHOWING 1-10 OF 173 REFERENCES
50 Years of Progress in Speech and Speaker Recognition Research
TLDR
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. Expand
Recent Progress in Corpus-Based Spontaneous Speech Recognition
  • S. Furui
  • Computer Science
  • IEICE Trans. Inf. Syst.
  • 2005
TLDR
This paper focuses on various achievements of a Japanese 5-year national project "Spontaneous Speech: Corpus and Processing Technology" that has recently been completed. Expand
Continuous speech recognition
TLDR
The authors focus on a tutorial description of the hybrid HMM/ANN method, which provides a mechanism for incorporating a range of sources of evidence without strong assumptions about their joint statistics, and may have applicability to much more complex systems that can incorporate deep acoustic and linguistic context. Expand
Minimum classification error rate methods for speech recognition
TLDR
The issue of speech recognizer training from a broad perspective with root in the classical Bayes decision theory is discussed, and the superiority of the minimum classification error (MCE) method over the distribution estimation method is shown by providing the results of several key speech recognition experiments. Expand
Template-Based Continuous Speech Recognition
TLDR
The template matching system reaches a performance somewhat worse than the best published HMM results for the Resource Management benchmark, but thanks to complementarity of errors between the HMM and DTW systems, the combination of both leads to a decrease in word error rate. Expand
Active learning: theory and applications to automatic speech recognition
TLDR
This paper describes how to estimate the confidence score for each utterance through an on-line algorithm using the lattice output of a speech recognizer and shows that the amount of labeled data needed for a given word accuracy can be reduced by more than 60% with respect to random sampling. Expand
Approaches to Iterative Speech Feature Enhancement and Recognition
TLDR
It is shown that speech feature enhancement with SLDMs can be improved by feeding back information from the HMM to the enhancement stage, and that a combination with uncertainty decoding further enhances performance. Expand
Speaker-independent isolated word recognition using dynamic features of speech spectrum
  • S. Furui
  • Computer Science
  • IEEE Trans. Acoust. Speech Signal Process.
  • 1986
This paper proposes a new isolated word recognition technique based on a combination of instantaneous and dynamic features of the speech spectrum. This technique is shown to be highly effective inExpand
BYBLOS: The BBN continuous speech recognition system
  • Y. Chow, M. O. Dunham, +6 authors R. Schwartz
  • Computer Science
  • ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing
  • 1987
In this paper, we describe BYBLOS, the BBN continuous speech recognition system. The system, designed for large vocabulary applications, integrates acoustic, phonetic, lexical, and linguisticExpand
Results Obtained from a Vowel Recognition Computer Program
As a first step toward a general speech recognition computer program, a program has been developed to recognize ten Eng.ish vowels in isolated words of the form /b/—bowel—/t/. Input to the computerExpand
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