Challenge: Speech characteristics vary from speaker to speaker due to many factors, including communication context, provenance, age, and social background.
Approach: They propose a method that uses a knowledge base to provide speaker-specific information.
Outcome: The proposed method can be used to enrich existing corpora with speaker-specific information and to correlate with diastratic features.

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PATATRA and PATAFreq: two French databases for the documentation of within-speaker variability in speech (2022.lrec-1)

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Challenge: Variability in speech is pervasive but structured and ruled-governed.
Approach: They propose two databases which contain recordings of 9 to 11 speakers . they compare the delay between repetitions of speech tasks with different speakers based on their own data .
Outcome: The proposed databases compare speakers' performance on a large set of speech tasks with different delays.
A Semi-Automatic Approach to Create Large Gender- and Age-Balanced Speaker Corpora: Usefulness of Speaker Diarization & Identification. (2022.lrec-1)

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Challenge: Existing methods for creating diachronic corpus of voices are based on speaker characteristics and require human intervention.
Approach: They propose to use a semi-automatic pipeline to create a diachronic corpus of voices balanced for speaker’s age, gender and recording period, according to 32 categories.
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Familiar words but strange voices: Modelling the influence of speech variability on word recognition (2021.eacl-srw)

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Challenge: Despite the lack of acoustic-phonetic invariance in speech, listeners can reliably recognize spoken words despite the lack aural-phonemic invariancy.
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Characterizing English Variation across Social Media Communities with BERT (2021.tacl-1)

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Challenge: Existing studies characterizing language variation across Internet social groups have focused on the types of words used by these groups.
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An Empirical Evaluation of Annotation Practices in Corpora from Language Documentation (2020.lrec-1)

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Challenge: Language documentation projects have produced substantial amounts of primary data from a wide variety of endangered languages.
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Towards Qualitative Word Embeddings Evaluation: Measuring Neighbors Variation (N18-4)

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Challenge: Using extrinsic evaluation methods, embeddings are evaluated on a specific task such as part-of-speech tagging or named-entity recognition.
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A Short Survey on Sense-Annotated Corpora (2020.lrec-1)

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Challenge: Word Sense Disambiguation (WSD) is a key task in Natural Language Understanding.
Approach: They propose to use sense-annotated corpora for supervised Word Sense Disambiguation.
Outcome: The proposed methods have been compared with knowledge-based approaches and have shown to be more efficient when they are available.
Overlaps and Gender Analysis in the Context of Broadcast Media (2022.lrec-1)

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Challenge: Using gender and overlap annotations, we characterise interactions between speakers according to their gender and role in broadcast media.
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Building Knowledge-Guided Lexica to Model Cultural Variation (2024.naacl-long)

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Challenge: Cultural variation exists between nations, but also within regions . Historically, it has been difficult to computationally model cultural variation due to a lack of training data and scalability constraints.
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Praaline: An Open-Source System for Managing, Annotating, Visualising and Analysing Speech Corpora (P18-4)

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Challenge: Praaline is an open-source software system for constituting and managing spoken language and multimodal corpora.
Approach: They present the latest developments of Praaline, an open-source software system for constituting and managing spoken language and multimodal corpora.
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