Syllabic intensity variations as quantification of speech rhythm: evidence from both L1 and L2 L He Speech Prosody 2012, Shanghai, 466-469, 2012 | 39 | 2012 |
The role of syllable intensity in between-speaker rhythmic variability L He, V Dellwo International Journal of Speech, Language and the Law 23 (2), 243-273, 2016 | 37 | 2016 |
A Praat-based algorithm to extract the amplitude envelope and temporal fine structure using the Hilbert transform L He, V Dellwo INTERSPEECH 2016, San Francisco, 530-534, 2016 | 31 | 2016 |
Metacognition in EFL pronunciation learning among Chinese tertiary learners L He Applied Language Learning 21 (1-2), 1-27, 2010 | 29 | 2010 |
Between-speaker variability in temporal organizations of intensity contours L He, V Dellwo Journal of the Acoustical Society of America 141 (5), EL488-EL494, 2017 | 26 | 2017 |
Amplitude envelope kinematics of speech: Parameter extraction and applications L He, V Dellwo The Journal of the Acoustical Society of America 141 (5_Supplement), 3582-3582, 2017 | 25 | 2017 |
Between-speaker variability and temporal organization of the first formant L He, Y Zhang, V Dellwo Journal of the Acoustical Society of America 145 (3), EL209-EL214, 2019 | 24 | 2019 |
Development of speech rhythm in first language: The role of syllable intensity variability L He The Journal of the Acoustical Society of America 143 (6), EL463-EL467, 2018 | 18 | 2018 |
Between-speaker rhythmic variability is not dependent on language rhythm, as evidence from Persian reveals H Asadi, M Nourbakhsh, L He, E Pellegrino, V Dellwo International Journal of Speech, Language and the Law 25 (2), 151-174, 2018 | 18 | 2018 |
Voice biometrics for speaker recognition applications V Dellwo, P French, L He The Oxford Handbook of Voice Perception, 777–795, 2019 | 14* | 2019 |
Speaker idiosyncratic variability of intensity across syllables L He, V Dellwo Interspeech 2014, Singapore, 233-237, 2014 | 11 | 2014 |
Amplitude envelope kinematics of speech signal: parameter extraction and applications L He, V Dellwo Elektronische Sprachsignalverarbeitung 2017, 107-113, 2017 | 9 | 2017 |
Characterizing first and second language rhythm in English using spectral coherence between temporal envelope and mouth opening-closing movements L He Journal of the Acoustical Society of America 152 (1), 567-579, 2022 | 8 | 2022 |
Interlanguage rhythm L He The University of Edinburgh, 2010 | 7 | 2010 |
Comparisons of speaker recognition strengths using suprasegmental duration and intensity variability: an artificial neural networks approach L He, U Glavitsch, V Dellwo 18th International Congress of Phonetic Sciences (ICPhS), Glasgow, Paper …, 2015 | 6 | 2015 |
Computation of L2 speech rhythm based on duration and fundamental frequency E Pellegrino, L He, V Dellwo Elektronische Sprachsignalverarbeitung 2017, 246-253, 2017 | 3 | 2017 |
Inter-speaker variability in intensity dynamics L He, U Glavitsch, V Dellwo Talk given at the 24th Annual Conference of the International Association …, 2015 | 2 | 2015 |
Characterizing speech rhythm using spectral coherence between jaw displacement and speech temporal envelope L He, Y Zhang Loquens 7, e74, 2020 | 1 | 2020 |
Stable and unstable intervals as a basic segmentation procedure of the speech signal U Glavitsch, L He, V Dellwo INTERSPEECH 2015, Dresden, 31-35, 2015 | 1 | 2015 |
Amplitude envelope reconstruction based on signal periodicity V Dellwo, T Kathiresan, L He The Journal of the Acoustical Society of America 141 (5_Supplement), 4029-4029, 2017 | | 2017 |