HiFi-GAN
A high-fidelity parallel vocoder based on generative adversarial networks that converts acoustic features into audio waveforms in a non-autoregressive manner. It is characterized by high audio quality and low latency, and is widely used in text-to-speech systems.
Core Facts
Timeline (last 90 days)
A modern TTS pipeline is typically three-stage — "text front end + acoustic model (such as FastSpeech 2) + vocoder (such as HiFi-GAN)" — and voice cloning adds speaker embeddings or reference audio prompts on top of that.
Tacotron2 is a two-stage pipeline that first converts text into a mel spectrogram and then synthesizes the waveform through a vocoder such as WaveGlow or HiFi-GAN.
Most contemporary high-naturalness TTS systems are based on neural vocoder architectures, with typical examples including WaveNet and HiFi-GAN.
Traditional autoregressive vocoders generate audio sample by sample with extremely high latency, while parallel vocoders such as HiFi-GAN have significantly reduced the time consumed in the synthesis stage.
BigVGAN builds on HiFi-GAN by introducing large-kernel convolutions and anti-aliasing processing, improving synthesis quality, especially in the restoration of high-frequency details.
Modern singing voice synthesis technology is typically based on neural vocoder architectures such as HiFi-GAN or BigVGAN, which convert acoustic features like mel spectrograms into high-fidelity waveforms.
All Facts (8)
Modern TTS technology has evolved from early rule-based concatenative synthesis to deep learning-based end-to-end speech generation, with underlying technologies including Transformer-architecture speech models, neural vocoders (WaveNet, HiFi-GAN), and prosody modeling
65%UnverifiedWaveGlow、HiFi-GAN等模型将声码器的推理速度提升至实时水平，并大幅降低了训练门槛
85%UnverifiedA modern TTS pipeline is typically three-stage — "text front end + acoustic model (such as FastSpeech 2) + vocoder (such as HiFi-GAN)" — and voice cloning adds speaker embeddings or reference audio prompts on top of that.
50%UnverifiedTacotron2 is a two-stage pipeline that first converts text into a mel spectrogram and then synthesizes the waveform through a vocoder such as WaveGlow or HiFi-GAN.
50%UnverifiedMost contemporary high-naturalness TTS systems are based on neural vocoder architectures, with typical examples including WaveNet and HiFi-GAN.
50%UnverifiedTraditional autoregressive vocoders generate audio sample by sample with extremely high latency, while parallel vocoders such as HiFi-GAN have significantly reduced the time consumed in the synthesis stage.
50%UnverifiedBigVGAN builds on HiFi-GAN by introducing large-kernel convolutions and anti-aliasing processing, improving synthesis quality, especially in the restoration of high-frequency details.
50%UnverifiedModern singing voice synthesis technology is typically based on neural vocoder architectures such as HiFi-GAN or BigVGAN, which convert acoustic features like mel spectrograms into high-fidelity waveforms.
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