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drama-3

fishaudio

**Fish Audio Drama 3** is Fish Audio's new-generation text-to-speech model, built for multi-character scenes and long-form content. It supports multi-speaker generation, voice cloning and natural-language control. - **35B parameters, 3B active per token**: MoE text backbone with hybrid (full + linear) attention - **Codebook-MTP audio decoder**: 10 codebooks decoded causally over the whole sequence - **FP8 MoE experts** with the remaining weights in bf16 - **Speaker tags** ` ` … ` ` — one text can carry up to 16 characters - **Long text** is chunked automatically and can be streamed per chunk Drama 3 runs on SGLang-Omni from launch day. For installation, deployment, and streaming API examples, see the Drama 3 Cookbook.

Speech synthesis

Input Text→ Output Audio

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drama-3-int4

fishaudio

**The smallest working Drama 3.** Unofficial int4 quantization of fishaudio/drama-3 — Fish Audio's 35B (3B active) multi-speaker TTS model — with **real eval numbers** and one-command serving through SGLang Omni. The two checkpoints were compared on one H200 with the default SGLang Omni server settings: the 1,088 Seed-TTS English prompts, each cloning the voice of its own reference clip, sent as non-streaming requests at concurrency 8. WER is computed on the generated audio transcribed by Qwen3-ASR-1.7B. The int4 checkpoint is about 8% slower per request and its WER stays at the FP8 level: the gap between the two is about as large as the run-to-run spread of one checkpoint (a second FP8 run measured 1.365 s mean latency and 2.02% WER).

Speech synthesis

Input Text→ Output Audio

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fish-speech-1.5

fishaudio

**Fish Speech V1.5** is a leading text-to-speech (TTS) model trained on more than 1 million hours of audio data in multiple languages. Supported languages: - English (en) >300k hours - Chinese (zh) >300k hours - Japanese (ja) >100k hours - German (de) ~20k hours - French (fr) ~20k hours - Spanish (es) ~20k hours - Korean (ko) ~20k hours - Arabic (ar) ~20k hours - Russian (ru) ~20k hours - Dutch (nl) <10k hours - Italian (it) <10k hours - Polish (pl) <10k hours - Portuguese (pt) <10k hours

Speech synthesis

Input Text→ Output Audio

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s1-mini

fishaudio

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Speech synthesis

Input Text→ Output Audio

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s2-pro

fishaudio

**Fish Audio S2 Pro** is a leading text-to-speech (TTS) model with fine-grained inline control of prosody and emotion. Trained on over 10M+ hours of audio data across 80+ languages, the system combines reinforcement learning alignment with a dual-autoregressive architecture. The release includes model weights, fine-tuning code, and an SGLang-based streaming inference engine. S2 Pro builds on a decoder-only transformer combined with an RVQ-based audio codec (10 codebooks, ~21 Hz frame rate) using a **Dual-Autoregressive (Dual-AR)** architecture: - **Slow AR** (4B parameters): Operates along the time axis and predicts the primary semantic codebook. - **Fast AR** (400M parameters): Generates the remaining 9 residual codebooks at each time step, reconstructing fine-grained acoustic detail.

Speech synthesis

Input Text→ Output Audio

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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Explore AI models 5

drama-3

drama-3-int4

fish-speech-1.5

s1-mini

s2-pro

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