Search Results for author:
Found 14 papers, 9 papers with code
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-Lingual-TTS, a new Text-to-Speech (TTS) dataset developed at the Center of Excellence in Artificial Intelligence (CEIA) of the Federal University of Goias (UFG).
Evaluation of Speech Representations for MOS prediction
Among the supervised and self-supervised learning models using BRSpeechMOS, Whisper-Small achieved the best linear correlation of 0. 6980, and the speaker verification model, SpeakerNet, had linear correlation of 0. 6963.
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 applications involving human-machine interactions.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Interpretability Analysis of Deep Models for COVID-19 Detection
During the outbreak of COVID-19 pandemic, several research areas joined efforts to mitigate the damages caused by SARS-CoV-2.
BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus
BibleTTS is a large, high-quality, open speech dataset for ten languages spoken in Sub-Saharan Africa.
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion
We explore cross-lingual multi-speaker speech synthesis and cross-lingual voice conversion applied to data augmentation for automatic speech recognition (ASR) systems in low/medium-resource scenarios.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
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-shot multi-speaker TTS.
CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese
with 290. 77 hours, a publicly available dataset for ASR in BP containing validated pairs (audio-transcription).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Brazilian Portuguese Speech Recognition Using Wav2vec 2.0
In this sense, this work presents the development of an public Automatic Speech Recognition (ASR) system using only open available audio data, from the fine-tuning of the Wav2vec 2. 0 XLSR-53 model pre-trained in many languages, over BP data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model
In this paper, we propose SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model that improves similarity for speakers unseen during training.
TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese
Speech provides a natural way for human-computer interaction.
Evaluating Sentence Segmentation in Different Datasets of Neuropsychological Language Tests in Brazilian Portuguese
Automatic analysis of connected speech by natural language processing techniques is a promising direction for diagnosing cognitive impairments.
Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models
We compare the three best architectures trained using our method to select the best one, which is the one with a shallow architecture.
