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 …
Investigating on incorporating pretrained and learnable speaker representations for multi-speaker multi-style text-to-speech
The few-shot multi-speaker multi-style voice cloning task is to synthesize utterances with
voice and speaking style similar to a reference speaker given only a few reference samples …
voice and speaking style similar to a reference speaker given only a few reference samples …
Cross-speaker emotion disentangling and transfer for end-to-end speech synthesis
The cross-speaker emotion transfer task in text-to-speech (TTS) synthesis particularly aims
to synthesize speech for a target speaker with the emotion transferred from reference …
to synthesize speech for a target speaker with the emotion transferred from reference …
Pmvc: Data augmentation-based prosody modeling for expressive voice conversion
Voice conversion as the style transfer task applied to speech, refers to converting one
person's speech into a new speech that sounds like another person's. Up to now, there has …
person's speech into a new speech that sounds like another person's. Up to now, there has …
Voice filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module
State-of-the-art text-to-speech (TTS) systems require several hours of recorded speech data
to generate high-quality synthetic speech. When using reduced amounts of training data …
to generate high-quality synthetic speech. When using reduced amounts of training data …
Dgc-vector: A new speaker embedding for zero-shot voice conversion
Recently, more and more zero-shot voice conversion algorithms have been proposed. As a
fundamental part of zero-shot voice conversion, speaker embeddings are the key to …
fundamental part of zero-shot voice conversion, speaker embeddings are the key to …
[PDF][PDF] A Unified System for Voice Cloning and Voice Conversion through Diffusion Probabilistic Modeling.
Text-to-speech and voice conversion are two common speech generation tasks typically
solved using different models. In this paper, we present a novel approach to voice cloning …
solved using different models. In this paper, we present a novel approach to voice cloning …
Prosody and voice factorization for few-shot speaker adaptation in the challenge m2voc 2021
The paper describes the CASIA speech synthesis system entry for challenge M2VoC 2021.
The low similarity and naturalness of synthesized speech remains a challenging problem for …
The low similarity and naturalness of synthesized speech remains a challenging problem for …
Neural fusion for voice cloning
Voice cloning is a technique to build text-to-speech applications for individuals. When only
very limited training data is available, it is challenging to preserve both high speech quality …
very limited training data is available, it is challenging to preserve both high speech quality …
Unet-tts: Improving unseen speaker and style transfer in one-shot voice cloning
One-shot voice cloning aims to transform speaker voice and speaking style in speech
synthesized from a text-to-speech (TTS) system, where only a shot recording from the target …
synthesized from a text-to-speech (TTS) system, where only a shot recording from the target …