Tutorials

This tutorial walks you through the use of the Penn Forced Aligner (P2FA) and the Montreal Forced Aligner (MFA) on Mandarin data, from data preparation and installation to post-aligning processing. It integrates curated online resources along with original code snippets to streamline the workflow.
      6 Chapters

Unix Shell  Python  Montreal Forced Aligner  Penn Forced Aligner

 Prepare Audio Files
 Prepare Transcripts
 Use Penn Forced Aligner
 Use Montreal Forced Aligner (legacy)
 Post-alignment Options
 New Update: A Gentle Guide to Montreal Forced Aligner

This tutorial is designed to help you understand the basic concepts in ASR and guide you step-by-step to utilise ASR in your own linguistic research.
    3 Chapters

Unix Shell  Python  Whisper  Kaldi  ASR  Corpus

 Applying large pre-trained models (Whisper & Wav2Vec2)
 ASR from Scratch I: Training models of Hong Kong Cantonese using the Kaldi recipe
 ASR from Scratch II: Training models of Hong Kong Cantonese with MFA implementation

This tutorial introduces a way to compile a speech corpus and make queries of speech intervals, using the command-line interface.
   3 Chapters

Unix Shell  Python  Corpus

 Assemble time-aligned transcription files
 Create query scripts
 Create audio-trimming scripts

This series features a carefully curated set of research tips, tools, and techniques, empowering you to cut through information clutter effectively and uncover insights that matter efficiently.
  1 Chapter

Zotero

 Let’s talk about reference management and Zotero

This series takes you on a journey through the fundamental concepts and practical aspects of audio processing.
  1 Chapter

Unix Shell  Python  Corpus

 Audio data augmentation (in progress)