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1
Characterizing speech rhythm using spectral coherence between jaw displacement and speech temporal envelope
In: He, Lei; Zhang, Yu (2020). Characterizing speech rhythm using spectral coherence between jaw displacement and speech temporal envelope. Loquens, 7(2):e074. (2020)
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2
Speaker individuality in the durational characteristics of voiced intervals: the case of chinese bi-dialectal speakers
In: Zhang, Yu; He, Lei; Dellwo, Volker (2019). Speaker individuality in the durational characteristics of voiced intervals: the case of chinese bi-dialectal speakers. In: International Congress of Phonetic Sciences, Melbourne/Australia, 5 August 2019 - 9 August 2019, 3075-3079. (2019)
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3
Computation of L2 speech rhythm based on duration and fundamental frequency
In: Pellegrino, Elisa; He, Lei; Dellwo, Volker (2017). Computation of L2 speech rhythm based on duration and fundamental frequency. In: Trouvain, Jürgen; Steiner, Ingmar; Mobius, Bernd. Elektronische Sprachsignalverarbeitung 2017. Dresden: TUDpress, 246-253. (2017)
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4
Amplitude envelope kinematics of speech signal: parameter extraction and applications
In: He, Lei; Dellwo, Volker (2017). Amplitude envelope kinematics of speech signal: parameter extraction and applications. In: Trouvain, Jürgen; Steiner, Ingmar; Möbius, Bernd. Elektronische Sprachsignalverarbeitung 2017. Dresden: TUDpress, 1-8. (2017)
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5
Perception of vocal tract tension: exploring possible prosodic correlates
In: San Segundo, Eugenia; Schwab, Sandra; Dellwo, Volker; He, Lei; Mompeán, José (2017). Perception of vocal tract tension: exploring possible prosodic correlates. In: VII Congreso Internacional de Fonética Experimental, Madrid, 22 November 2017 - 24 November 2017. (2017)
Abstract: A recent study involving the perceptual analysis of 24 speakers by two raters (San Segundo & Mompeán, 2017) revealed a slight inter-rater agreement in the assessment of vocal tract tension. In the current investigation several prosodic measures related to intensity and durational variability have been extracted per speaker with the aim of testing whether they correlate with the perceptual ratings for VT tension provided by the two trained raters. The correlation test showed a significant positive correlation between the ratings of Rater 1 and the variable varcoM (mean intensity variability across syllables). In contrast, the ratings of Rater 2 correlated positive and significantly with two rhythmic measures related to mean consonant duration. These results suggest that the acoustic cues playing a role in each rater’s auditory judgements are not the same. The different salience of intensity and durational characteristics should be taken into account in future studies on voice quality perception.
Keyword: 000 Computer science; 410 Linguistics; Institute of Computational Linguistics; knowledge & systems
URL: https://www.zora.uzh.ch/id/eprint/145206/
https://www.zora.uzh.ch/id/eprint/145206/1/145206.pdf
https://doi.org/10.5167/uzh-145206
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6
Speaker Idiosyncratic Intensity Variability in the Speech Signal
He, Lei. - 2017
In: He, Lei. Speaker Idiosyncratic Intensity Variability in the Speech Signal. 2017, University of Zurich, Faculty of Arts. (2017)
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7
The Inadequacy of Rhythm Metrics to Quantify L2 Suprasegmental Characteristics
In: He, Lei (2014). The Inadequacy of Rhythm Metrics to Quantify L2 Suprasegmental Characteristics. In: Speech Prosody, Dublin, 20 May 2014 - 23 May 2014. s.n., 1095-1098. (2014)
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8
Syllabic Intensity Variations as Quantification of Speech Rhythm: Evidence from Both L1 and L2
In: He, Lei (2012). Syllabic Intensity Variations as Quantification of Speech Rhythm: Evidence from Both L1 and L2. In: Speech Prosody 2012, Shanghai, 22 May 2012 - 25 May 2012. s.n., 466-469. (2012)
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