Papers with forced alignment
GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement (2025.acl-long)
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Yifan Yang, Zheshu Song, Jianheng Zhuo, Mingyu Cui, Jinpeng Li, Bo Yang, Yexing Du, Ziyang Ma, Xunying Liu, Ziyuan Wang, Ke Li, Shuai Fan, Kai Yu, Wei-Qiang Zhang, Guoguo Chen, Xie Chen
| Challenge: | GigaSpeech 2 is a large-scale, multi-domain, multilingual speech recognition corpus for low-resource languages. |
| Approach: | They propose a large-scale, multi-domain, multilingual speech recognition corpus for low-resource languages and an automated pipeline for data crawling, transcription, and label refinement. |
| Outcome: | The proposed corpus reduces the word error rate for Thai, Indonesian, and Vietnamese on a realistic YouTube test set by 25% to 40% compared to Whisper large-v3. |
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel’s Weekly Video Podcasts (2022.lrec-1)
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| Challenge: | a dataset of 16 years of (almost) weekly Internet podcasts of former german chancellor Angela Merkel is presented. |
| Approach: | They propose to curate a German podcast corpus from 16 years of podcasts of former german chancellor Angela Merkel using audio-visual-text methods. |
| Outcome: | The proposed pipeline can be used to curate other datasets of similar nature, such as talk show contents. |
Extracting Linguistic Knowledge from Speech: A Study of Stop Realization in 5 Romance Languages (2022.lrec-1)
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| Challenge: | voicing alternation phenomena of stops are a common problem in connected speech . phoneticians and phonologists are interested in analyzing phonetic variation . |
| Approach: | They use forced alignment with pronunciation variants and machine learning techniques to examine voicing alternations of stops in Romance languages. |
| Outcome: | The proposed method enables linguists to use large corpora and speech recognition systems . the results show that voicing alternations occur in all Romance languages . |
Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing (2024.acl-long)
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| Challenge: | Recent work has proposed a new task of textless speech constituency parsing that uses textless parsers to parse spoken word boundaries over automatically recognized spoken word borders. |
| Approach: | They propose a metric that compares a constituency parse tree over spoken word boundaries with a ground-truth parser tree over written words. |
| Outcome: | The proposed metric shows higher tolerance to syntactically plausible parses than PARSEVAL. |
A Romanization System and WebMAUS Aligner for Arabic Varieties (2022.lrec-1)
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Jalal Al-Tamimi, Florian Schiel, Ghada Khattab, Navdeep Sokhey, Djegdjiga Amazouz, Abdulrahman Dallak, Hajar Moussa
| Challenge: | The WebMAUS 1 is a suite of webservices that is free for academic users that processes 42 languages and language varieties. |
| Approach: | They propose to develop an Arabic variety-independent romanization system that aims to homogenize and simplify the romanization of the Arabic script. |
| Outcome: | The proposed system is based on the existing Arabic variety-independent WebMAUS services. |
English-based acoustic models perform well in the forced alignment of two English-based Pacific Creoles (2025.acl-long)
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Sam Passmore, Lila San Roque, Kirsty Gillespie, Saurabh Nath, Kira Davey, Keira Mullan, Tim Cawley, Jennifer Biggs, Rosey Billington, Bethwyn Evans, Nick Thieberger, Danielle Barth
| Challenge: | Currently, European languages dominate phonetic research . forced alignment can accelerate the study of sociophonetic variation in minority languages . |
| Approach: | They propose to use English and custom-made acoustic models to study the alignment of vowels in two Pacific Creoles, Tok Pisin and Bislama. |
| Outcome: | The proposed models perform acceptablely well in English and humans in vowel environments described as ‘Highly Reliable’. |