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Browse our latest insights on “Speech data” — practical guidance, trends, and real-world lessons.
Showing 12 posts on this page (146 total) tagged “Speech data”
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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Phonetic Shift Documentation: 5 Key Areas in Evolving Dialects
By Way With Words Team
Phonetic shift documentation is the study and recording of how sounds in a language or dialect change over time.
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How Can Community Engagement Help Collect Localised Speech Data?
By Way With Words Team
Community engagement is no longer just a nice-to-have in the collection of localised speech data—it’s a necessity.
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Native Speaker Speech Data: Co-Creating the Future of Voice Data
By Way With Words Team
If your goal is to build realistic and culturally attuned voice systems, relying on native speaker speech data is not just best practice—it’s non-negotiable.
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How to Expertly Gather Multilingual Speech Data at Scale
By Way With Words Team
How Do You Gather Multilingual Speech Data at Scale? How are Scalable Voice Datasets Created and Refined? The role of multilingual speech data has never be...
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Speech Data in Africa: Challenges and Emerging Opportunities
By Way With Words Team
In this article, we explore the major challenges, and the emerging opportunities, of collecting speech data in Africa.
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Why Is Dialectal Variation Critical for Speech Recognition?
By Way With Words Team
Why Is Dialectal Variation Critical for Speech Recognition? Speech Differences Between Languages and Also Within Them Speech recognition has advanced rapid...
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How Do You Collect Speech Data in Low-Resource Languages?
By Way With Words Team
Collecting speech data in low-resource languages is not just a technical challenge; it is a cultural, ethical, and infrastructural endeavour.
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Improve Speech Data Anomaly Detection in Collected Samples
By Way With Words Team
This article explores five key areas of speech data anomaly detection essential to ensure dataset reliability, consistency, and usability
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Why Is Timestamp Alignment Important in Speech Data?
By Way With Words Team
Timestamp alignment is more than a technical afterthought—it is a cornerstone of how speech is processed, understood, and applied in modern systems.
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How Do You Handle Code-Switching in Speech Data?
By Way With Words Team
Accurately handling code-switching in speech data is not only a technical challenge but also a practical necessity across many domains.
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