Duplicate from microsoft/VibeVoice-ASR

Co-authored-by: FW <frontierai@users.noreply.huggingface.co>

.gitattributes

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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+figures/VibeVoice_ASR_archi.png filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language:
+- en
+- zh
+license: mit
+pipeline_tag: automatic-speech-recognition
+tags:
+- ASR
+- Transcriptoin
+- Diarization
+- Speech-to-Text
+library_name: transformers
+---
+
+
+## VibeVoice-ASR
+[![GitHub](https://img.shields.io/badge/GitHub-Repo-black?logo=github)](https://github.com/microsoft/VibeVoice)
+[![Live Playground](https://img.shields.io/badge/Live-Playground-green?logo=gradio)](https://aka.ms/vibevoice-asr)
+
+**VibeVoice-ASR** is a unified speech-to-text model designed to handle **60-minute long-form audio** in a single pass, generating structured transcriptions containing **Who (Speaker), When (Timestamps), and What (Content)**, with support for **Customized Hotwords**.
+
+➡️ **Code:** [microsoft/VibeVoice](https://github.com/microsoft/VibeVoice)<br>
+➡️ **Demo:** [VibeVoice-ASR-Demo](https://aka.ms/vibevoice-asr)
+
+<p align="left">
+  <img src="figures/VibeVoice_ASR_archi.png" alt="VibeVoice-ASR Architecture" height="250px">
+</p>
+
+
+## 🔥 Key Features
+
+- **🕒 60-minute Single-Pass Processing**:
+  Unlike conventional ASR models that slice audio into short chunks (often losing global context), VibeVoice ASR accepts up to **60 minutes** of continuous audio input within 64K token length. This ensures consistent speaker tracking and semantic coherence across the entire hour.
+
+- **👤 Customized Hotwords**:
+  Users can provide customized hotwords (e.g., specific names, technical terms, or background info) to guide the recognition process, significantly improving accuracy on domain-specific content.
+
+- **📝 Rich Transcription (Who, When, What)**:
+  The model jointly performs ASR, diarization, and timestamping, producing a structured output that indicates *who* said *what* and *when*.
+
+
+
+
+## Evaluation
+<p align="center">
+  <img src="figures/DER.jpg" alt="DER" width="70%">
+  <img src="figures/cpWER.jpg" alt="cpWER" width="70%">
+  <img src="figures/tcpWER.jpg" alt="tcpWER" width="70%">
+</p>
+
+## Installation and Usage
+
+Please refer to [GitHub README](https://github.com/microsoft/VibeVoice/blob/main/docs/vibevoice-asr.md#installation).
+
+## License
+This project is licensed under the MIT License.
+
+## Contact
+This project was conducted by members of Microsoft Research. We welcome feedback and collaboration from our audience. If you have suggestions, questions, or observe unexpected/offensive behavior in our technology, please contact us at VibeVoice@microsoft.com.
+If the team receives reports of undesired behavior or identifies issues independently, we will update this repository with appropriate mitigations.

config.json

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+{
+  "_attn_implementation_autoset": false,
+  "acoustic_tokenizer_config": {
+    "causal": true,
+    "channels": 1,
+    "conv_bias": true,
+    "conv_norm": "none",
+    "corpus_normalize": 0.0,
+    "decoder_depths": null,
+    "decoder_n_filters": 32,
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+    "layernorm": "RMSNorm",
+    "layernorm_elementwise_affine": true,
+    "layernorm_eps": 1e-05,
+    "mixer_layer": "depthwise_conv",
+    "model_type": "vibevoice_acoustic_tokenizer",
+    "pad_mode": "constant",
+    "std_dist_type": "gaussian",
+    "vae_dim": 64,
+    "weight_init_value": 0.01
+  },
+  "acoustic_vae_dim": 64,
+  "architectures": [
+    "VibeVoiceForASRTraining"
+  ],
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+    "use_cache": true,
+    "use_mrope": false,
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+    "vocab_size": 152064
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+  "diffusion_head_config": {
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+    "ddpm_beta_schedule": "cosine",
+    "ddpm_num_inference_steps": 20,
+    "ddpm_num_steps": 1000,
+    "diffusion_type": "ddpm",
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+    "head_layers": 4,
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+    "model_type": "vibepod_diffusion_head",
+    "prediction_type": "v_prediction",
+    "rms_norm_eps": 1e-05,
+    "speech_vae_dim": 64
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+  "dtype": "float32",
+  "model_type": "vibevoice",
+  "semantic_tokenizer_config": {
+    "causal": true,
+    "channels": 1,
+    "conv_bias": true,
+    "conv_norm": "none",
+    "corpus_normalize": 0.0,
+    "disable_last_norm": true,
+    "dtype": "bfloat16",
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+    "layernorm_elementwise_affine": true,
+    "layernorm_eps": 1e-05,
+    "mixer_layer": "depthwise_conv",
+    "model_type": "vibevoice_semantic_tokenizer",
+    "pad_mode": "constant",
+    "std_dist_type": "none",
+    "vae_dim": 128,
+    "weight_init_value": 0.01
+  },
+  "semantic_vae_dim": 128,
+  "transformers_version": "4.57.6"
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