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06/16/2023
Evaluation of Speech Representations for MOS prediction
In this paper, we evaluate feature extraction models for predicting spee...
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06/16/2023
CML-TTS A Multilingual Dataset for Speech Synthesis in Low-Resource Languages
In this paper, we present CML-TTS, a recursive acronym for CML-Multi-Lin...
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05/23/2023
Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person
Automatic speech recognition (ASR) systems play a key role in applicatio...
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11/25/2022
Interpretability Analysis of Deep Models for COVID-19 Detection
During the outbreak of COVID-19 pandemic, several research areas joined ...
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10/14/2022
Bringing NURC/SP to Digital Life: the Role of Open-source Automatic Speech Recognition Models
The NURC Project that started in 1969 to study the cultured linguistic u...
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03/29/2022
A single speaker is almost all you need for automatic speech recognition
We explore the use of speech synthesis and voice conversion applied to a...
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12/04/2021
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
YourTTS brings the power of a multilingual approach to the task of zero-...
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10/14/2021
CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese
Automatic Speech recognition (ASR) is a complex and challenging task. In...
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07/23/2021
Brazilian Portuguese Speech Recognition Using Wav2vec 2.0
Deep learning techniques have been shown to be efficient in various task...
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04/02/2021
SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model
In this paper, we propose SC-GlowTTS: an efficient zero-shot multi-speak...
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05/11/2020
End-To-End Speech Synthesis Applied to Brazilian Portuguese
Voice synthesis systems are popular in different applications, such as p...
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02/25/2020
