Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
An overview of voice conversion and its challenges: From statistical modeling to deep learning
Speaker identity is one of the important characteristics of human speech. In voice
conversion, we change the speaker identity from one to another, while keeping the linguistic …
conversion, we change the speaker identity from one to another, while keeping the linguistic …
Yourtts: Towards zero-shot multi-speaker tts and zero-shot voice conversion for everyone
E Casanova, J Weber, CD Shulby… - International …, 2022 - proceedings.mlr.press
YourTTS brings the power of a multilingual approach to the task of zero-shot multi-speaker
TTS. Our method builds upon the VITS model and adds several novel modifications for zero …
TTS. Our method builds upon the VITS model and adds several novel modifications for zero …
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech
Several recent end-to-end text-to-speech (TTS) models enabling single-stage training and
parallel sampling have been proposed, but their sample quality does not match that of two …
parallel sampling have been proposed, but their sample quality does not match that of two …
A survey on neural speech synthesis
Text to speech (TTS), or speech synthesis, which aims to synthesize intelligible and natural
speech given text, is a hot research topic in speech, language, and machine learning …
speech given text, is a hot research topic in speech, language, and machine learning …
Naturalspeech: End-to-end text-to-speech synthesis with human-level quality
Text-to-speech (TTS) has made rapid progress in both academia and industry in recent
years. Some questions naturally arise that whether a TTS system can achieve human-level …
years. Some questions naturally arise that whether a TTS system can achieve human-level …
Fastspeech 2: Fast and high-quality end-to-end text to speech
Non-autoregressive text to speech (TTS) models such as FastSpeech can synthesize
speech significantly faster than previous autoregressive models with comparable quality …
speech significantly faster than previous autoregressive models with comparable quality …
Fastspeech: Fast, robust and controllable text to speech
Neural network based end-to-end text to speech (TTS) has significantly improved the quality
of synthesized speech. Prominent methods (eg, Tacotron 2) usually first generate mel …
of synthesized speech. Prominent methods (eg, Tacotron 2) usually first generate mel …
Libritts: A corpus derived from librispeech for text-to-speech
This paper introduces a new speech corpus called" LibriTTS" designed for text-to-speech
use. It is derived from the original audio and text materials of the LibriSpeech corpus, which …
use. It is derived from the original audio and text materials of the LibriSpeech corpus, which …
Activation functions: Comparison of trends in practice and research for deep learning
Deep neural networks have been successfully used in diverse emerging domains to solve
real world complex problems with may more deep learning (DL) architectures, being …
real world complex problems with may more deep learning (DL) architectures, being …