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Reliability of short language samples (Wilder & Redmond, 2022) ...
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Developmental screening using caregiver report: an evaluation of screening tools and childhood developmental delays in South Africa ...
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PROBLEMS OF THE IMPLEMENTATION OF THE BASIC SOCIAL FUNCTIONS OF THE LANGUAGE ...
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PROBLEMS OF THE IMPLEMENTATION OF THE BASIC SOCIAL FUNCTIONS OF THE LANGUAGE ...
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Towards a part-of-speech tagger for Sranan Tongo ...
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Nicolás, C.V.; Viktor, Z.. - : Фонд содействия развитию интернет-медиа, ИТ-образования, человеческого потенциала "Лига интернет-медиа", 2022
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Potential of automatic speech processing technologies for early detection of oral language disorders: a meta-analytic review ...
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A comparative study of several parameterizations for speaker recognition ...
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Speaker verification in mismatch training and testing conditions ...
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Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation ...
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РЕЧЬ ПРЕПОДАВАТЕЛЯ КАК МОТИВАЦИЯ К ИЗУЧЕНИЮ НЕРОДНОГО ЯЗЫКА ... : THE TEACHER'S SPEECH AS A MOTIVATION TO LEARN NON NATIVE LANGUAGE ...
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Estimating Vocal Tract Resonances of Synthesized High-Pitched Vowels Using CNN ...
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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 ...
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Keyword:
Formant estimation; High pitch; Neural network; Speech processing; Vocal tract resonance
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URL: https://dx.doi.org/10.34726/hss.2022.89401 https://repositum.tuwien.at/handle/20.500.12708/19264
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Dvoice : An open source dataset for Automatic Speech Recognition on African Languages and Dialects ...
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Dvoice : An open source dataset for Automatic Speech Recognition on African Languages and Dialects ...
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A New Amharic Speech Emotion Dataset and Classification Benchmark ...
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Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks ...
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Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ...
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