Unverified50% confidenceFactTime unknown
Most contemporary high-naturalness TTS systems are based on neural vocoder architectures, with typical examples including WaveNet and HiFi-GAN.
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50%
Confidence
Long-term
Relevance
9/12/2026
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Related Claims
UnverifiedModern 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 modeling77% similarUnverified现代神经TTS模型以Tacotron 2、FastSpeech为代表，配合WaveNet、HiFi-GAN等神经声码器生成自然语音74% similarUnverified2016年DeepMind发布的WaveNet首次以原始波形建模取代传统声码器，是TTS领域的里程碑70% similarUnverifiedModern neural network-based TTS models (such as Tacotron, VITS, GPT-SoVITS, etc.) can generate natural speech close to that of a real person, and support emotion control and voice timbre cloning.69% similarUnverifiedNeural network TTS models (such as Azure TTS, ElevenLabs, and CosyVoice) can clone a specific speaker's timbre, speech rate, and emotional style using a small amount of reference audio.66% similar
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