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Tacotron 2
Tacotron 2
Human-Like Speech from Text with Deep Learning
What is Tacotron 2?
Tacotron 2 is Google’s advanced neural network architecture designed for end-to-end speech synthesis. Combining a sequence-to-sequence feature prediction network with a vocoder like WaveNet, Tacotron 2 transforms text into clear, natural-sounding speech that mimics human prosody and intonation.
Its high-fidelity voice generation capabilities have made it a foundational model in the evolution of text-to-speech (TTS) technologies used in digital assistants, accessibility tools, and voice applications.
Key Features of Tacotron 2
Use Cases of Tacotron 2
Limitations
Risks
Parameter
- Quality (MMLU Score)
- Inference Latency (TTFT)
- Cost per 1M Tokens
- Hallucination Rate
- HumanEval (0-shot)
Tacotron 2
While newer models have emerged, Tacotron 2’s efficient architecture and high-quality output continue to influence the development of lightweight, deployable voice solutions across industries.
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