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On improvement of speech intelligibility and quality: a survey of unsupervised single channel speech enhancement algorithms
Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans. Speech signals enable humans to communicate and this usefulness of ...
Conversor texto a voz en el dialecto venezolano por medio de la concatenación de difonos
(Ciencia e Ingeniería, 2010)
Emilia: A speech corpus for Argentine Spanish text to speech synthesis
(Springer, 2019-09)
This paper introduces Emilia, a speech corpus created to build a female voice in Spanish spoken in Buenos Aires for the Aromo text-to-speech system. Aromo is a unit selection text-to-speech system, which employs diphones ...
On Improvement of Speech Intelligibility and Quality: A Survey of Unsupervised Single Channel Speech Enhancement Algorithms
Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans. Speech signals enable humans to communicate and this usefulness of ...
Improving brain-to-text models utilizing recurrent neural networks and transfer learning for neuroprosthetic speech
(2023)
This PhD thesis focuses on the decoding of silent speech from electroencephalogram (EEG) signals using Brain-Computer Interfaces (BCIs) and transfer learning tech- niques. Silent speech, also known as imagined speech, ...
Automatic speech-to-text transcription in an ecuadorian radio broadcast context
(SPRINGER VERLAG, 2017-09-19)
A key element to enable the analysis and accessing to radio broadcast content is the development of automatic speech-to-text systems. The building of these systems has been possible given the current available of different ...
Geração de prosódia para o português brasileiro em sistemas text-to-speech
(Universidade Federal do Rio Grande do NorteBrasilUFRNCiência da Computação, 2018-06-20)
With the evergrowing presence of smartphones and home assistants in our daily lives,
technology companies have been developing two-way conversation systems, that is, voice
user interfaces. Despite its recent improvements, ...
Automatic speech-to-text transcription in an ecuadorian radio broadcast context
(SPRINGER VERLAG, 2018)
Assessing the Impact of Contextual Information in Hate Speech Detection
(2023)
Social networks and other digital media deal with huge amounts of user-generated contents
where hate speech has become a problematic more and more relevant. A great effort has been made to
develop automatic tools for its ...