Tacotron
An end-to-end neural network model for speech synthesis developed by Google. It converts text directly into natural-sounding speech without relying on traditional signal-processing pipelines, enabling more fluent and natural prosody than earlier text-to-speech systems.
Core Facts
Timeline (last 90 days)
Neural audio synthesis refers to the technology of using deep neural networks to directly model and generate human speech waveforms, with representative methods including WaveNet, Tacotron and their subsequent variants.
End-to-end architectures such as Tacotron, FastSpeech, and VITS have compressed the overall text-to-audio latency from several seconds to hundreds of milliseconds.
The leap in modern end-to-end TTS technology began with WaveNet and Tacotron introduced by Google in 2017, which first demonstrated speech naturalness close to that of a real human.
After 2016, with the emergence of neural network models such as WaveNet and Tacotron, TTS quality made a qualitative leap, achieving naturalness close to human reading.
All Facts (7)
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%Unverified当前主流的神经网络TTS方案包括Tacotron系列、FastSpeech系列以及VITS、Bark等端到端模型
85%UnverifiedModern 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.
60%UnverifiedNeural audio synthesis refers to the technology of using deep neural networks to directly model and generate human speech waveforms, with representative methods including WaveNet, Tacotron and their subsequent variants.
50%UnverifiedEnd-to-end architectures such as Tacotron, FastSpeech, and VITS have compressed the overall text-to-audio latency from several seconds to hundreds of milliseconds.
50%UnverifiedThe leap in modern end-to-end TTS technology began with WaveNet and Tacotron introduced by Google in 2017, which first demonstrated speech naturalness close to that of a real human.
50%UnverifiedAfter 2016, with the emergence of neural network models such as WaveNet and Tacotron, TTS quality made a qualitative leap, achieving naturalness close to human reading.
50%