Discrimination of stop consonants using a data‐driven analysis

Abstract

The characteristics of stop consonants are time‐varying. In traditional running spectrum analysis, the frames are not always synchronized with the events of speech. In this presentation, a new data‐driven analysis method is proposed in which the frames are synchronized with the events to extract the features of the stop consonants accurately. In this method, a feature vector is extracted from four or five frames that are equally spaced in a consonant segment. A voiced stop segment is defined as the segment between the release and the point where power exceeds a threshold. A voiceless stop segment is defined as the segment between the release and the voice onset. In these discrimination experiments, 94.0% of the voiced and 96.3% of the voiceless stops were correctly discriminated. The speech database used for these experiments was the Japanese monosyllables (/b,d,g,p,t,k/ + /a,i,u,e,o/) uttered by 20 speakers. It was confirmed that analysis synchronizing with consonant segments is effective for stop consonant discrimination.The characteristics of stop consonants are time‐varying. In traditional running spectrum analysis, the frames are not always synchronized with the events of speech. In this presentation, a new data‐driven analysis method is proposed in which the frames are synchronized with the events to extract the features of the stop consonants accurately. In this method, a feature vector is extracted from four or five frames that are equally spaced in a consonant segment. A voiced stop segment is defined as the segment between the release and the point where power exceeds a threshold. A voiceless stop segment is defined as the segment between the release and the voice onset. In these discrimination experiments, 94.0% of the voiced and 96.3% of the voiceless stops were correctly discriminated. The speech database used for these experiments was the Japanese monosyllables (/b,d,g,p,t,k/ + /a,i,u,e,o/) uttered by 20 speakers. It was confirmed that analysis synchronizing with consonant segments is effective for stop conson...