ASR

Utilising ASR in Linguistic Research

A step-by-step guide to apply automatic speech recognition technology in linguistic research.

Voice quality in telephone speech: Comparing acoustic measures between VoIP telephone and high-quality recordings

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Exploring individual speaker performance within a forensic automatic speaker recognition system

Poster Presentation at the UK and Ireland Speech Workshop 2024, Cambridge, UK.

Voice quality in telephone speech: Comparing acoustic measures between VoIP telephone and high-quality recordings

Poster Presentation at INTERSPEECH 2024, Kos Island, Greece.

Exploring individual speaker characteristics within a forensic automatic speaker recognition system

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Automatic speaker recognition with variation across vocal conditions: a controlled experiment with implications for forensics

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Automatic speaker recognition with variation across vocal conditions: a controlled experiment with implications for forensics

Proceedings of Interspeech 2023. Dublin, Ireland.

Impact of the changes in long-term acoustic features upon different-speaker ASR scores

Presentation at the 31st International Association for Forensic Phonetics and Acoustics conference (IAFPA 2023), Universität Zürich, Switzerland.

Utilising ASR in Linguistic Research (ongoing)

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

Training your first ASR model: Introduction to ASR in linguistic research

Introduction to Automatic Speech Recognition (ASR) in linguistic research.