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How are visemes and graphemes integrated with speech sounds during spoken word recognition? ERP evidence for supra-additive responses during audiovisual compared to auditory speech processing
In: ISSN: 0093-934X ; EISSN: 1090-2155 ; Brain and Language ; https://hal.archives-ouvertes.fr/hal-03472191 ; Brain and Language, Elsevier, 2022, 225, ⟨10.1016/j.bandl.2021.105058⟩ (2022)
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Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-03578503 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore (2022)
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Investigating the locus of transposed-phoneme effects using cross-modal priming
In: ISSN: 0001-6918 ; EISSN: 1873-6297 ; Acta Psychologica ; https://hal.archives-ouvertes.fr/hal-03619856 ; Acta Psychologica, Elsevier, 2022, 226, pp.103578. ⟨10.1016/j.actpsy.2022.103578⟩ (2022)
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4
Potential of automatic speech processing technologies for early detection of oral language disorders: a meta-analytic review ...
Bonnet, Camille. - : Open Science Framework, 2022
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A comparative study of several parameterizations for speaker recognition ...
Faundez-Zanuy, Marcos. - : arXiv, 2022
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Speaker verification in mismatch training and testing conditions ...
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Estimating Vocal Tract Resonances of Synthesized High-Pitched Vowels Using CNN ...
Mikusova, Ivana. - : TU Wien, 2022
Abstract: Beim Sprechen oder Singen wird ein vom Kehlkopf kommender Schall durch den Vokaltrakt gefiltert. Formanten, die Maxima des resultierenden Spektrums, bestimmen den Vokal und die Stimmfarbe. Bei Sprachfrequenzen liegen die Obertöne der Schallquelle dicht beieinander, so dass die Maxima des Ausgangsspektrums weitgehend mit den Resonanzfrequenzen des Vokaltraktfilters übereinstimmen. Bei höheren Grundfrequenzen, wie bei Gesang oder Kindersprache, werden die Maxima des Ausgangsspektrums eher durch die Lage der Obertöne als durch die Resonanzfrequenzen bestimmt. Die üblichen Verfahren zur Formantschätzung, LPC und Cepstrum, basieren auf der spektralen Hüllkurve. Sie funktionieren gut bei Sprachfrequenzen, aber bei höheren Grundfrequenzen bestimmen sie die Obertöne statt die Resonanzfrequenzen. Informationen über die Lage der Resonanzen sind jedoch immer noch im Klang vorhanden, z. B. in der Behauchung und im Vibrato. Eine Methode, die in der Lage ist, diese Informationen bei hohen Frequenzen zu erkennen, würde das ... : In speaking or singing, a source sound coming from the larynx is filtered by the vocal tract. Formants, the maxima of the resulting spectrum, determine the vowel and the timbre of the voice. At speech frequencies, between 100 Hz - 400 Hz, the harmonics of the source sound are spaced densely, so the peaks of the output spectrum largely correspond to the resonance frequencies of the vocal tract filter. At higher fundamental frequencies, like in singing or child speech, the peaks of the output spectrum are determined more by the location of the harmonics than of the filter resonance frequencies. Traditional formant estimation methods, LPC and cepstrum, only use information from the spectral envelope. They perform well at speech frequencies, but at higher fundamental frequencies, they are not able to find the resonance frequencies of the vocal tract and determine the harmonics instead. Information about the location of the resonances is however still present in the sound, e.g. in breathiness and vibrato. A ...
Keyword: Formant estimation; High pitch; Neural network; Speech processing; Vocal tract resonance
URL: https://dx.doi.org/10.34726/hss.2022.89401
https://repositum.tuwien.at/handle/20.500.12708/19264
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A New Amharic Speech Emotion Dataset and Classification Benchmark ...
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9
The Norwegian Parliamentary Speech Corpus ...
Solberg, Per Erik; Ortiz, Pablo. - : arXiv, 2022
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10
LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ...
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Automatic Dialect Density Estimation for African American English ...
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Data From: A Protracted Developmental Trajectory for English-Learning Children’s Detection of Consonant Mispronunciations in Newly Learned Words
In: Speech and Hearing Sciences Faculty Datasets (2022)
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13
Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ...
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Learning and controlling the source-filter representation of speech with a variational autoencoder ...
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Correcting Misproducted Speech using Spectrogram Inpainting ...
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Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation ...
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17
Can Social Robots Effectively Elicit Curiosity in STEM Topics from K-1 Students During Oral Assessments? ...
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Expression-preserving face frontalization improves visually assisted speech processing ...
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Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition ...
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A Hierarchical Model for Spoken Language Recognition ...
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