Selection of optimal features for phoneme recognition in different ...
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Abstract: The authors introduce a modified approach to phoneme recognition. The new method is based on the assumption that efficient features for phoneme ...
A labeling algorithm for connected speech recognition employs accumulated information concerning the phonetic environment prior to consonant labeling that ...
The authors introduce a modified approach to phoneme recognition. The new method is based on the assumption that efficient features for phoneme ...
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Oct 30, 2023 · This review offers an exhaustive examination of phoneme recognition, an essential sub-word acoustic unit in speech processing.
In this paper, we present a comprehensive survey of ML tools to build phoneme recognizers. We also highlight some applications of speech (especially phoneme) ...
Speech attributes, such as places and manners of articulation are robust against cross-speaker variation and environmental distortions. They have been used in ...
In this study, the use of acoustic cues was assessed for normal-hearing (NH) listeners in optimal and spectrally degraded conditions, and also for CI listeners.
Sep 1, 2020 · This study considers Artificial Neural Network and Hidden Markov Model methods of classification for Human Speech Recognition through Diphthong Vowel sounds.
CHAPTER 2. PROCESSING OF DISTINCTIVE FEATURES AND RESPONSE. PROBABILITY. 34. 2.1. Introduction. 34. 2.2. Hierarchical ordering of distinctive features.
This paper reports the results of three projects concerned with auditory word recognition and the structure of the lexicon.