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User Guide — Montreal Forced Aligner 3. 0. 0 documentation - Read the Docs The Montreal Forced Aligner uses the Kaldi ASR toolkit to perform forced alignment Kaldi is under active development and uses modern ASR and includes state-of-the-art algorithms for tasks in automatic speech recognition beyond forced alignment
Installation — Montreal Forced Aligner 3. 0. 0 documentation To install the latest version, please run either conda update-c conda-forge montreal-forced-aligner kalpy kaldi=*=cpu*--update-deps or mamba update-c conda-forge montreal-forced-aligner kalpy kaldi=*=cpu*--update-deps if you have mamba installed
Getting started — Montreal Forced Aligner 3. 0. 0 documentation conda config--add channels conda-forge conda install montreal-forced-aligner Install Conda In-depth instructions Using Docker? Want to install via source? To the installation guide First steps First time using MFA? Want a walk-through of a specific use case? First steps previous Montreal Forced Aligner documentation next
Align with an acoustic model (mfa align) — Montreal Forced Aligner 3. 0. . . . Global Options API reference# Alignment Align a single file (mfa align_one) # This workflow is identical to Align with an acoustic model (mfa align), but rather than aligning a full dataset, it only aligns a single file Because only a single file is used, many of the optimizations for larger datasets are skipped resulting in faster alignment times, but features like speaker adaptation are
Welcome to Montreal Forced Aligner’s documentation! What is forced alignment? Montreal Forced Aligner Pipeline of training; Use of speaker information; Underlying technology; Other forced alignment tools; Contributors; Citation; Funding; Installation Mac; Windows; Linux; Building from source; Files created when using the Montreal Forced Aligner; Data preparation Dictionaries Non-speech
All commands — Montreal Forced Aligner 3. 0. 0 documentation Perform forced alignment with a pretrained model Align with an acoustic model (mfa align) mfa train Train an acoustic model and export resulting alignment Train a new acoustic model (mfa train) mfa adapt Adapt a pretrained acoustic model on a new dataset Adapt acoustic model to new data (mfa adapt) mfa train_dictionary
Train a new acoustic model (mfa train) — Montreal Forced Aligner 3. 0. 0 . . . Pronunciation modeling# For the default configuration, pronunciation probabilities are estimated following the second and third SAT blocks See Add probabilities to a dictionary (mfa train_dictionary) for more details A recent experimental feature for training acoustic models is the --train_g2p flag which changes the pronunciation probability estimation from a lexicon based estimation to