AVID: A speech database for machine learning studies on vocal intensity
Author:
Funder
Huawei Technologies Co Ltd
Academy of Finland
Publisher
Elsevier BV
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software
Reference58 articles.
1. TensorFlow: Large-scale machine learning on heterogeneous systems;Abadi,2015
2. An amplitude quotient based method to analyze changes in the shape of the glottal pulse in the regulation of vocal intensity;Alku;J. Acoust. Soc. Am.,2006
3. OPENGLOT–An open environment for the evaluation of glottal inverse filtering;Alku;Speech Commun.,2019
4. Measuring the effect of fundamental frequency raising as a strategy for increasing vocal intensity in soft, normal and loud phonation;Alku;Speech Commun.,2002
5. TIMIT acoustic-phonetic continuous speech corpus;Anon,1993
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