In this paper, we propose a speaker-independent isolated ward recognition system whose performance is comparable to that of a conventional isolated word ...
In this paper, we propose a complete speaker-indepen- dent, isolated word recognition system using a word-based. VQ preprocessor to screen out all word ...
TL;DR: This paper extends previous work on isolated-word recognition based on hidden Markov models by replacing the discrete symbol representation of the speech ...
In this paper we present an experimental system for speaker independent isolated word recognition that is based on vector quantization and multilayer perceptron ...
Missing: preprocessor | Show results with:preprocessor
People also ask
What is vector quantization in speech recognition?
What does vector quantization do?
Bibliographic details on A vector-quantization-based preprocessor for speaker-independent isolated word recognition.
Speaker-independent isolated word recognition using dynamic features of speech spectrum ... IEEE Trans. Acoust. Speech Signal Process. 1986. This paper proposes a ...
A vector quantization based preprocessor for speaker-independent isolated word recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing, ASSP- ...
Incorporation of Temporal Structure Into a Vector-Quantization-Based Preprocessor for Speaker-Independent, Isolated-Word Recognition. A. F. Bergh,. A. F. ...
Apr 25, 2024 · A vector-quantization-based preprocessor for speaker-independent isolated word recognition. IEEE Trans. Acoust. Speech Signal Process. 33(3) ...
Oct 22, 2024 · PDF | In this study a vector quantization (VQ) codebook was used as an efficient means of characterizing the short-time spectral features of ...