Oral History Interview with Myrian Arce
, 2022 Myrian Arce discusses her experience coming to the United States in the 90's, how she adjusted, and what her life is like ...
Arce, Myrian, Arce, Katie
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wav2vec2-based Speech Rating System for Children with Speech Sound Disorder
, 2022 The computational resources were provided by Aalto ScienceIT. This work was supported by NordForsk through the funding to Technology-enhanced foreign and second-language learning of Nordic languages, project number 103893.Speaking is a fundamental way of
Getman, Yaroslav +8 more
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Lombard speech synthesis using transfer learning in a Tacotron text-to-speech system
, 2019 Currently, there is increasing interest to use sequence-to-sequence models in text-to-speech (TTS) synthesis with attention like that in Tacotron models.
Bajibabu Bollepalli +5 more
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Dysarthric speech classification using glottal features computed from non-words, words and sentences
, 2018 Dysarthria is a neuro-motor disorder resulting from the disruption of normal activity in speech production leading to slow, slurred and imprecise (low intelligible) speech.
Narendra N P +3 more
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More on the speech of the north of Arce Valley [PDF]
, 2012 Resumimos en este artículo las características principales del euskera del valle de Arce y lo comparamos con las de los valles colindantes; para ello nos hemos basado en el habla de los últimos hablantes, y especialmente en las grabaciones que hizo ...
Ibarra Murillo, Orreaga
core
Automatic Construction of the Finnish Parliament Speech Corpus [PDF]
, 2017 Automatic speech recognition (ASR) systems require large amounts of transcribed speech data, for training state-of-the-art deep neural network (DNN) acoustic models.
Mikko Kurimo +5 more
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Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project [PDF]
, 2010 This paper provides an overview of speaker adaptation research carried out in the EMIME speech-to-speech translation (S2ST) project. We focus on how speaker adaptation transforms can be learned from speech in one language and applied to the acoustic ...
Tokuda, Keiichi +20 more
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Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy
, 2019 With the growing popularity of social networks, cloud services and online applications, people are becoming concerned about the way companies store their data and the ways in which the data can be applied.
Das, Sneha +9 more
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Analysis of speech prosody using WaveNet embeddings : The Lombard effect [PDF]
, 2020 We present a novel methodology for speech prosody research based on the analysis of embeddings used to condition a convolutional WaveNet speech synthesis system.
Juraj Šimko +5 more
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Glottal source estimation from coded telephone speech using a deep neural network [PDF]
, 2017 In speech analysis, the information about the glottal source is obtained from speech by using glottal inverse filtering (GIF). The accuracy of state-of-the-art GIF methods is sufficiently high when the input speech signal is of high-quality (i.e., with ...
Manu Airaksinen +5 more
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