2024-01-30 19:34:22 +08:00

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Kaldi-based forced alignment
============================
This section describes in detail how to use `kaldi-decoder`_
for **FST-based** ``forced alignment`` with models trained by the `CTC`_ loss.
We will use the test data
from `CTC FORCED ALIGNMENT API TUTORIAL <https://pytorch.org/audio/main/tutorials/ctc_forced_alignment_api_tutorial.html>`_
Prepare the environment
-----------------------
Before you continue, make sure you have setup `icefall`_ by following :ref:`install icefall`.
.. hint::
You don't need to install `Kaldi`_. We will ``NOT`` use `Kaldi`_ below.
Get the test data
-----------------
Compute log_probs
-----------------
Convert transcript to an FST graph
----------------------------------
Force aligner
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