Upload VibeVoice 1.5B model
Browse files- README.md +6 -1
- config.json +115 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +13 -0
README.md
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license: mit
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---
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## Model
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VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversational audio, such as podcasts, from text. It addresses significant challenges in traditional Text-to-Speech (TTS) systems, particularly in scalability, speaker consistency, and natural turn-taking.
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The model can synthesize speech up to **90 minutes** long with up to **4 distinct speakers**, surpassing the typical 1-2 speaker limits of many prior models.
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## Training details
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Transformer-based Large Language Model (LLM) integrated with specialized acoustic and semantic tokenizers and a diffusion-based decoding head.
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- LLM: [Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) for this release.
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license: mit
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---
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## VibeVoice: A Frontier Open-Source Text-to-Speech Model
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VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversational audio, such as podcasts, from text. It addresses significant challenges in traditional Text-to-Speech (TTS) systems, particularly in scalability, speaker consistency, and natural turn-taking.
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The model can synthesize speech up to **90 minutes** long with up to **4 distinct speakers**, surpassing the typical 1-2 speaker limits of many prior models.
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➡️ **Project Demo:** [microsoft/VibeVoice-Demo](https://microsoft.github.io/VibeVoice)
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➡️ **Github Code:** [microsoft/VibeVoice-Code](https://github.com/microsoft/VibeVoice)
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## Training details
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Transformer-based Large Language Model (LLM) integrated with specialized acoustic and semantic tokenizers and a diffusion-based decoding head.
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- LLM: [Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) for this release.
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config.json
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{
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"acoustic_vae_dim": 64,
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"acoustic_tokenizer_config": {
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"causal": true,
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"channels": 1,
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"conv_bias": true,
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"conv_norm": "none",
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"corpus_normalize": 0.0,
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"decoder_depths": null,
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"decoder_n_filters": 32,
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"decoder_ratios": [
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],
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"disable_last_norm": true,
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"encoder_depths": "3-3-3-3-3-3-8",
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"encoder_n_filters": 32,
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"encoder_ratios": [
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],
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"fix_std": 0.5,
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"layer_scale_init_value": 1e-06,
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"layernorm": "RMSNorm",
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"layernorm_elementwise_affine": true,
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"layernorm_eps": 1e-05,
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"mixer_layer": "depthwise_conv",
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"model_type": "vibevoice_acoustic_tokenizer",
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"pad_mode": "constant",
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"std_dist_type": "gaussian",
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"vae_dim": 64,
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"weight_init_value": 0.01
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},
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"architectures": [
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"VibeVoiceForConditionalGeneration"
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],
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"decoder_config": {
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"attention_dropout": 0.0,
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"hidden_act": "silu",
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"hidden_size": 1536,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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"max_position_embeddings": 65536,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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},
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"diffusion_head_config": {
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"ddpm_batch_mul": 4,
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"ddpm_beta_schedule": "cosine",
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"ddpm_num_inference_steps": 20,
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"ddpm_num_steps": 1000,
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"diffusion_type": "ddpm",
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"head_ffn_ratio": 3.0,
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"head_layers": 4,
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"hidden_size": 1536,
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"latent_size": 64,
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"model_type": "vibevoice_diffusion_head",
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"prediction_type": "v_prediction",
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"rms_norm_eps": 1e-05,
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"speech_vae_dim": 64
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},
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"model_type": "vibevoice",
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"semantic_tokenizer_config": {
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"causal": true,
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"channels": 1,
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"conv_bias": true,
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"conv_norm": "none",
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"corpus_normalize": 0.0,
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"disable_last_norm": true,
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"encoder_depths": "3-3-3-3-3-3-8",
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"encoder_n_filters": 32,
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"encoder_ratios": [
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],
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"fix_std": 0,
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"layer_scale_init_value": 1e-06,
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"layernorm": "RMSNorm",
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"layernorm_elementwise_affine": true,
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"layernorm_eps": 1e-05,
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"mixer_layer": "depthwise_conv",
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"model_type": "vibevoice_semantic_tokenizer",
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"pad_mode": "constant",
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"std_dist_type": "none",
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"vae_dim": 128,
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"weight_init_value": 0.01
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},
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"semantic_vae_dim": 128,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.3"
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}
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model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model.safetensors.index.json
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preprocessor_config.json
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{
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"processor_class": "VibeVoiceProcessor",
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"speech_tok_compress_ratio": 3200,
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"db_normalize": true,
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"audio_processor": {
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"feature_extractor_type": "VibeVoiceTokenizerProcessor",
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"sampling_rate": 24000,
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"normalize_audio": true,
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"target_dB_FS": -25,
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"eps": 1e-06
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},
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"language_model_pretrained_name": "Qwen/Qwen2.5-1.5B"
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}
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