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Browse practical insights on transcription, captioning, and speech data — with the newest posts first.
Showing 12 posts on this page (527 total)
Crowdsourced Speech Data: A Cornerstone of Dataset Acquisition
By Way With Words Team
This article explores the benefits of crowdsourced speech data collection, the platforms that enable it, dataset quality, and the ethical considerations involved.
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Scripted vs Unscripted Speech: Analysing Benefits and Challenges
By Way With Words Team
This article explores the differences between scripted vs unscripted speech, their advantages, limitations, and practical applications in today’s AI landscape.
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How Do You Test for Fairness in Speech AI?
By Way With Words Team
How Do You Test for Fairness in Multilingual Speech Data? Building Equitable Systems that Function for Everyone Artificial intelligence has rapidly become...
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What Multilingual Open Speech Corpora Exist for Research?
By Way With Words Team
What Multilingual Speech Corpora Exist for Open Research? Why is Access to Open Multilingual Speech Datasets Important? Artificial intelligence systems tha...
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Synthetic Dialect Generation: Training Machine Learning Models
By Way With Words Team
Machine learning has made remarkable progress in synthetic dialect generation, opening new opportunities for speech synthesis, data inclusivity, and language preservation.
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Best Practices for Tagging Multilingual Code-mixing in Audio
By Way With Words Team
Tagging multilingual code-mixing in audio files is one of the most complex but rewarding tasks in speech annotation.
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How Loanwords Impact Automatic Speech Recognition Models
By Way With Words Team
What is the Impact of Loanwords on ASR Models? Understanding How Loanwords Affect Automatic Speech Recognition Automatic Speech Recognition (ASR) has becom...
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Why Is Phonetic Transcription Useful in Multilingual Datasets?
By Way With Words Team
This article explores the foundations of phonetic transcription, its benefits in multilingual ASR and TTS systems.
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Effectively Manage Multilingual ASR Training Pipelines at Scale
By Way With Words Team
This article explores the key components of multilingual ASR training pipelines, and outlines the strategies and tools that engineers and developers use to manage complex datasets at scale.
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Avoid Common Speech Data Errors in Cross-Linguistic Corpora
By Way With Words Team
Understanding the most common types of speech data errors, their causes, and how they can be mitigated is essential for any team working on multilingual or cross-linguistic voice datasets.
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Practical Steps to Preserve Cultural Context in Speech Data
By Way With Words Team
Preserving cultural context in speech data has far-reaching effects, particularly in localisation and conversational AI.
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Why is Tonal Language Essential in African and Asian Speech Data?
By Way With Words Team
This article explores the essence of tonal languages, the challenges of recording them accurately and the wide-ranging applications of tone-aware ASR models.
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