Voice Cloning
9 papers with code • 0 benchmarks • 0 datasets
Voice cloning is a highly desired feature for personalized speech interfaces. Neural voice cloning system learns to synthesize a person’s voice from only a few audio samples.
Benchmarks
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Libraries
Use these libraries to find Voice Cloning models and implementationsMost implemented papers
Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning
We present a multispeaker, multilingual text-to-speech (TTS) synthesis model based on Tacotron that is able to produce high quality speech in multiple languages.
Neural Voice Cloning with a Few Samples
SforAiDl/Neural-Voice-Cloning-With-Few-Samples
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NeurIPS 2018
Speaker adaptation is based on fine-tuning a multi-speaker generative model with a few cloning samples.
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech
In this paper, we extend the pretraining method for cross-lingual multi-speaker speech synthesis tasks, including cross-lingual multi-speaker voice cloning and cross-lingual multi-speaker speech editing.
One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech
Tomiinek/Multilingual_Text_to_Speech
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We introduce an approach to multilingual speech synthesis which uses the meta-learning concept of contextual parameter generation and produces natural-sounding multilingual speech using more languages and less training data than previous approaches.
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.
Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss
We achieve cross-lingual VC between Mandarin speech with multiple speakers and English speech with multiple speakers by applying bilingual bottleneck features.
Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text
tpulkit/txt2vid
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Video represents the majority of internet traffic today, driving a continual race between the generation of higher quality content, transmission of larger file sizes, and the development of network infrastructure.
Empirical Study Incorporating Linguistic Knowledge on Filled Pauses for Personalized Spontaneous Speech Synthesis
ndkgit339/fastspeech2-filled_pause_speech_synthesis
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We present a comprehensive empirical study for personalized spontaneous speech synthesis on the basis of linguistic knowledge.
Low-Resource Multilingual and Zero-Shot Multispeaker TTS
digitalphonetics/ims-toucan
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While neural methods for text-to-speech (TTS) have shown great advances in modeling multiple speakers, even in zero-shot settings, the amount of data needed for those approaches is generally not feasible for the vast majority of the world's over 6, 000 spoken languages.
