Journal ArticleDOI
Pitch shape modulates the time course of tone vs pitch-accent identification in Mandarin Chinese
TLDR
The results indicate that the f0-shape, as defined by pitch dimensions of f0 and pitch range, mediates the timing of tone and pitch-accent identification in meaningful speech supporting highly interactive models of speech perception.Abstract:
In Mandarin Chinese pitch is used to express both lexical meanings via tones and sentence-level meanings via pitch-accents raising the question of which information is processed first. While research with meaningful sentence materials suggested a general processing advantage of tone over pitch-accents, research on pure tones and nonce speech in pre-attentive processing found that the f0-shape led to timing and site processing differences. The current study reconciles these results by exploring whether the tone advantage found in meaningful speech materials is modulated by the f0-shape by establishing via a gating paradigm the relative timing of tone and pitch-accent identification. Target words containing static (T1) and dynamic (T2, T4) tones were embedded into meaningful sentences and were divided into 50 ms gates which were added incrementally either from the left- or right-edge of the target word. Results showed that dynamic targets had either a tone or pitch-accent advantage contingent on the direction of gate processing. In contrast, for static T1 targets, tone and pitch-accent were identified simultaneously regardless of the direction of gate processing. Altogether, these results indicate that the f0-shape, as defined by pitch dimensions of f0 and pitch range, mediates the timing of tone and pitch-accent identification in meaningful speech supporting highly interactive models of speech perception.read more
Citations
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Journal ArticleDOI
A review on speech processing using machine learning paradigm
TL;DR: The performance of several machine learning techniques is validated for speech emotion recognition application on Berlin EmoDB database and the broad application areas and challenges in machine learning for speech processing are given.
Journal ArticleDOI
Effects of vowel coproduction on the timecourse of tone recognition
Jason A. Shaw,Michael D. Tyler +1 more
TL;DR: Results showed that the timecourse of tone recognition is influenced by vowel quality for high, low, and rising tones, consistent with the hypothesis that tone-conditioned variation in the articulation of /a/ and /i/ facilitates rapid recognition of tones.
References
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Book ChapterDOI
Pre-Attentive Processing of Mandarin Tone and Intonation: Evidence from Event-Related Potentials
Journal ArticleDOI
Tone-3 accent realization in short Chinese sentences
Wen Cao,Jinsong Zhang +1 more
TL;DR: The authors investigated how a low tone syllable (tone-3, T3) syllable in Chinese can be perceived to be focal accented or not, and found that at least three degrees of pitch drop are involved in the focus recognition.
Journal ArticleDOI
Timescales of auditory processing
Nina Kraus,Travis White-Schwoch +1 more
TL;DR: The human auditory system is tuned into these temporal cues: within a single vocalization, we pick up on the slow fluctuations of sentences, the steady pulse of syllabic stress, and the fast changes that convey phonemes as mentioned in this paper.
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