The voicing feature for stop consonants: acoustic phonetic analyses and automatic speech recognition experiments
نویسندگان
چکیده
We examine the distinctive feature [voice] that separates the voiced from the unvoiced sounds for the case of stop consonants. We conduct acoustic-phonetic analyses on a large database and demonstrate the superior separability using a temporal measure (voice onset time; VOT) rather than spectral measures. We describe several algorithms to estimate the VOT automatically from continuous speech and compare them on a speech recognition problem to reduce error rates by as much as 53 % over a baseline HMM based system.
منابع مشابه
Automatic Detection and Classification of Stop Consonants Using an Acoustic-phonetic Feature-based System
A new acoustic-phonetic feature-and knowledge-based approach for the detection and classification of stop consonants in speakerindependent continuous speech is proposed. A system is built which automatically extracts stop consonants from continuous speech. The detected stop consonants are then passed to the classification system, which classifies them according to their voicing and place of art...
متن کاملAcoustic-phonetic features for the automatic classification of stop consonants
In this paper, the acoustic–phonetic characteristics of American English stop consonants are investigated. Features studied in the literature are evaluated for their information content and new features are proposed. A statistically guided, knowledge-based, acoustic–phonetic system for the automatic classification of stops, in speaker independent continuous speech, is proposed. The system uses ...
متن کاملFeatures for automatic detection of voice bars in continuous speech
In this paper we propose features for automatic detection of voice bar, which is an essential component of voiced stop consonants, in continuous speech. The acoustic-phonetic and production based knowledge such as, the presence of voicing, low strength of excitation compared to other voiced phones and a predominant low-frequency spectral energy, are mapped onto a set of acoustic features that c...
متن کاملRevisiting Place of Articulation Measures for Stop Consonants: Implications for Models of Consonant Production
This paper reports on revised analysis procedures that are being developed to identify place of articulation for stop consonants. These procedures are being used to examine the sources of variability that exist in the acoustic characteristics of these consonants for different phonetic contexts, speakers, and speaking styles. There are three motivations for this work: (1) to improve models of ar...
متن کاملAn acoustic-phonetic feature-based system for the automatic recognition of fricative consonants
In this paper, the acoustic-phonetic characteristics and the automatic recognition of the American English fricatives are investigated. The acoustic features that exist in the literature are evaluated and new features are proposed. To test the value of the extracted features, a knowledge-based acoustic-phonetic system for the automatic recognition of fricatives, in speaker independent continuou...
متن کامل