OpenVoice: A cutting-edge voice cloning system offering flexible voice style control and zero-shot cross-lingual capabilities from a short audio clip.

OpenVoice: A cutting-edge voice cloning system offering flexible voice style control and zero-shot cross-lingual capabilities from a short audio clip.

OpenVoice: A cutting-edge voice cloning system offering flexible voice style control and zero-shot cross-lingual capabilities from a short audio clip.

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We trained HierSpeech++ with a batch size of 160 for 1,000k steps on eight NVIDIA A6000 GPUs.

For voice conversion, we first extract the semantic representation by MMS from the audio at 16 kHz, and F0 using the YAPPT algorithm.

In this stage, we simply upsample a low-resolution speech waveform to a high-resolution speech waveform from 16 kHz to 48 kHz as illustrated in Fig 5.

Following VITS [35], we utilize a variational autoencoder and a monotonic alignment search (MAS) to align the text and speech internally

For a fair comparison, we trained all model with the same dataset (LT460, train-clean-460 subsets of LibriTTS) without YourTTS.

HierVST has significantly improved a voice style transfer performance of the E2E model; therefore so we conduct ablation studies by building up on HierVST

For VC, we used two subjective metrics: naturalness mean opinion score (nMOS) and voice similarity MOS (sMOS) with a CI of 95%

In this work, we propose HierSpeech++, which achieves a human-level high-quality zero-shot speech synthesis performance.

Although our model improves the zero-shot speech synthesis performance significantly, our model also synthesizes the noisy environmental information.

We introduced SpeechSR for a simple and efficient speech super-resolution for real-world practical application

We compared the zero-shot TTS performance of our model with Vall-E, NaturalSpeech 2, and StyleTTS 2.

We compare the performance of zero-shot TTS according to different prompt lengths of 1s, 3s 5s, and 10s.

We compared the zero-shot TTS performance of HierSpeech++ with other baselines: YourTTS, VITS-based end-to-end TTS model and many more.