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Speech recognition based on speech units

European Conference on Speech Technology, 1987
In a classical quantization system, each vector is represented by the nearest centroid; two vectors belonging to the same class are then indistinguishable. In order to mitigate this situation, we take into account the two nearest neighbours and define a “belonging degree” calculated from the distances between the vector and the two centroids.
openaire   +1 more source

Speech recognition using EMG; mime speech recognition

8th European Conference on Speech Communication and Technology (Eurospeech 2003), 2003
Hiroyuki Manabe   +2 more
openaire   +1 more source

Speech Recognition

2015
Speech recognition is concerned with converting the speech waveform, an acoustic signal, into a sequence of words. Today’s best-performing approaches are based on a statistical modelization of the speech signal. This chapter provides an overview of the main topics addressed in speech recognition: that is, acoustic-phonetic modelling, lexical ...
Lori Lamel, Jean-Luc Gauvain
openaire   +1 more source

A high-performance speech neuroprosthesis

Nature, 2023
Francis R Willett   +2 more
exaly  

Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays

Nature Electronics, 2020
Kyle Chen, Xiaoshi Li, Songlin Zhang
exaly  

Speech Recognition

The Journal of the Acoustical Society of America, 2011
openaire   +2 more sources

Speech recognition

Expert Systems, 1995
openaire   +2 more sources

A speech planning network for interactive language use

Nature, 2022
Gregg A Castellucci   +2 more
exaly  

Speech Recognition

The Journal of the Acoustical Society of America, 2000
Gregory J. Gadbois, Stijn A. Van Even
  +4 more sources

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