A review of deep learning techniques for speech processing
The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …
learning. The use of multiple processing layers has enabled the creation of models capable …
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 …
Viola: Unified codec language models for speech recognition, synthesis, and translation
Recent research shows a big convergence in model architecture, training objectives, and
inference methods across various tasks for different modalities. In this paper, we propose …
inference methods across various tasks for different modalities. In this paper, we propose …
Review of end-to-end speech synthesis technology based on deep learning
Z Mu, X Yang, Y Dong - arXiv preprint arXiv:2104.09995, 2021 - arxiv.org
As an indispensable part of modern human-computer interaction system, speech synthesis
technology helps users get the output of intelligent machine more easily and intuitively, thus …
technology helps users get the output of intelligent machine more easily and intuitively, thus …
Transformers in speech processing: A survey
The remarkable success of transformers in the field of natural language processing has
sparked the interest of the speech-processing community, leading to an exploration of their …
sparked the interest of the speech-processing community, leading to an exploration of their …
Delightfultts: The microsoft speech synthesis system for blizzard challenge 2021
This paper describes the Microsoft end-to-end neural text to speech (TTS) system:
DelightfulTTS for Blizzard Challenge 2021. The goal of this challenge is to synthesize …
DelightfulTTS for Blizzard Challenge 2021. The goal of this challenge is to synthesize …
Multi-spectrogan: High-diversity and high-fidelity spectrogram generation with adversarial style combination for speech synthesis
While generative adversarial networks (GANs) based neural text-to-speech (TTS) systems
have shown significant improvement in neural speech synthesis, there is no TTS system to …
have shown significant improvement in neural speech synthesis, there is no TTS system to …
VIOLA: Conditional Language Models for Speech Recognition, Synthesis, and Translation
Recent research shows a big convergence in model architecture, training objectives, and
inference methods across various tasks for different modalities. In this paper, we propose …
inference methods across various tasks for different modalities. In this paper, we propose …
Foundationtts: Text-to-speech for asr customization with generative language model
Neural text-to-speech (TTS) generally consists of cascaded architecture with separately
optimized acoustic model and vocoder, or end-to-end architecture with continuous mel …
optimized acoustic model and vocoder, or end-to-end architecture with continuous mel …
Controllable Accented Text-to-Speech Synthesis With Fine and Coarse-Grained Intensity Rendering
Accented text-to-speech (TTS) synthesis seeks to generate speech with an accent (L2) as a
variant of the standard version (L1), which is challenging as L2 is different from L1 in terms …
variant of the standard version (L1), which is challenging as L2 is different from L1 in terms …