Add VibeVoice text-to-speech model
Author: hlothaire
Pull request: yes

This PR adds support for **VibeVoice**, a text-to-speech model from Microsoft that generates high-fidelity, natural-sounding speech from text input.

  **Model variants:**
  - **VibeVoice-1.5B**: Full-featured model for long-form speech generation with semantic tokenization and multi-speaker support
  - **VibeVoice-Realtime-0.5B**: Streaming variant optimized for real-time generation with ~300ms latency

  **Architecture components:**
  - Qwen2 language model backbone for text understanding
  - Acoustic tokenizer (σ-VAE) for audio encoding/decoding
  - Semantic encoder for high-level speech features (1.5B only)
  - Diffusion head for acoustic feature generation
  - Speaker embeddings for voice cloning and multi-speaker synthesis

  **Added files:**
  - `src/transformers/models/vibevoice/` - Model implementation (config, modeling, processing, modular)
  - `tests/models/vibevoice/` - Comprehensive test suite (199 tests)
  - `docs/source/en/model_doc/vibevoice.md` - Documentation


Fixes #42758


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- [X] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
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Models:

- text models: @ArthurZucker @Cyrilvallez
- vision models: @yonigozlan @molbap
- audio models: @eustlb @ebezzam @vasqu
- multimodal models: @zucchini-nlp
- graph models: @clefourrier

Library:

- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- continuous batching: @remi-or @ArthurZucker @McPatate
- pipelines: @Rocketknight1
- tokenizers: @ArthurZucker and @itazap
- trainer: @SunMarc
- attention: @vasqu @ArthurZucker @CyrilVallez
- model loading (from pretrained, etc): @CyrilVallez
- distributed: @3outeille @ArthurZucker
- CIs: @ydshieh

Integrations:

- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization: @SunMarc @MekkCyber
- kernels: @MekkCyber @drbh
- peft: @BenjaminBossan @githubnemo

Devices/Backends:

- AMD ROCm: @ivarflakstad
- Intel XPU: @IlyasMoutawwakil
- Ascend NPU: @ivarflakstad 

Documentation: @stevhliu

Research projects are not maintained and should be taken as is.

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Comments:
**[For maintainers]** Suggested jobs to run (before merge)

run-slow: auto, vibevoice

View the CircleCI Test Summary for this PR:

https://huggingface.co/spaces/transformers-community/circle-ci-viz?pr=43372&sha=9db48c

Should be a duplicate, not sure which PRs are the current ones but they are actively worked on cc @ebezzam (if you could also collect your PRs for this)

@vasqu, @hlothaire yes these models are being added with these PRs:
- 1.5B and 7B: https://github.com/huggingface/transformers/pull/40546
- 0.5B realtime (depends on above): https://github.com/huggingface/transformers/pull/42781