Add MMS_FA bundle

The new bundle Wav2Vec2FABundle and its instance MMS_FA are added.
They are specialized for forced alignment, and the usage is explained in
the multilingual FA tutorial.

docs/source/pipelines.rst

@@ -142,6 +142,36 @@ Pretrained Models
    HUBERT_ASR_LARGE
    HUBERT_ASR_XLARGE
 
+wav2vec 2.0 / HuBERT - Forced Alignment
+---------------------------------------
+
+Interface
+~~~~~~~~~
+
+``Wav2Vec2FABundle`` bundles pre-trained model and its associated dictionary. Additionally, it supports appending ``star`` token dimension.
+
+.. image:: https://download.pytorch.org/torchaudio/doc-assets/pipelines-wav2vec2asrbundle.png
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: autosummary/bundle_class.rst
+
+   Wav2Vec2FABundle
+
+.. rubric:: Tutorials using ``Wav2Vec2FABundle``
+
+.. minigallery:: torchaudio.pipelines.Wav2Vec2FABundle
+
+Pertrained Models
+~~~~~~~~~~~~~~~~~
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: autosummary/bundle_data.rst
+
+   MMS_FA
 
 .. _Tacotron2:
 

docs/source/refs.bib

@@ -570,3 +570,12 @@ @incollection{45611
 URL	= {https://arxiv.org/abs/1609.09430},
 booktitle	= {International Conference on Acoustics, Speech and Signal Processing (ICASSP)}
 }
+
+@misc{pratap2023scaling,
+      title={Scaling Speech Technology to 1,000+ Languages},
+      author={Vineel Pratap and Andros Tjandra and Bowen Shi and Paden Tomasello and Arun Babu and Sayani Kundu and Ali Elkahky and Zhaoheng Ni and Apoorv Vyas and Maryam Fazel-Zarandi and Alexei Baevski and Yossi Adi and Xiaohui Zhang and Wei-Ning Hsu and Alexis Conneau and Michael Auli},
+      year={2023},
+      eprint={2305.13516},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}