Automatic speech recognition

  title={Automatic speech recognition},
  author={Carol Y. Espy-Wilson},
  journal={Journal of the Acoustical Society of America},
  • C. Espy-Wilson
  • Published 8 April 2005
  • Physics
  • Journal of the Acoustical Society of America
Great strides have been made in the development of automatic speech recognition (ASR) technology over the past thirty years. Most of this effort has been centered around the extension and improvement of Hidden Markov Model (HMM) approaches to ASR. Current commercially‐available and industry systems based on HMMs can perform well for certain situational tasks that restrict variability such as phone dialing or limited voice commands. However, the holy grail of ASR systems is performance… Expand


Automatic recognition and understanding of spoken language - a first step toward natural human-machine communication
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. Expand
Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Se
Several parametric representations of the acoustic signal were compared with regard to word recognition performance in a syllable-oriented continuous speech recognition system and the superior performance of the mel-frequency cepstrum coefficients may be attributed to the fact that they better represent the perceptually relevant aspects of the short-term speech spectrum. Expand
The Philips automatic train timetable information system
An automatic system for train timetable information over the telephone that provides accurate connections between 1200 German cities that can talk to its caller in unrestricted, natural, and fluent speech, very much like he or she would communicate with a human operator. Expand
A novel approach to the speaker identification over telephone networks
A set of inverse channel spectra is chosen to form a basis for generating the estimated channel equalization filter and a neural network is used to optimize the coefficients in convex combination. Expand
A Tutorial on Hidden Markov Models and Selected Applications
The fabric comprises a novel type of netting which will have particular utility in screening out mosquitoes and like insects and pests. The fabric is defined of voids having depth as well as widthExpand
E . Noth and A . Homdasch , “ Experiences with Commercial Telephone - based Dialogue Systems
  • 2000
Hindi speech database
Dynamic Programming Algorithms Optimization for Spoken Word Recoginition
  • IEEE Trans on acoustics, speech and signal processing, vol.ASSP-26,
  • 1978
Automatic Recognition and Understanding of Spoken Language – A First Step Toward Natural HumanMachine Communication
  • Proc . IEEE