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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”
How Do You Prevent Overfitting in Speech Dataset Design?
By Way With Words Team
One of the most persistent challenges for speech model developers and data scientists is preventing overfitting in speech data.
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Designing an Effective Semi-supervised Speech Data Pipeline
By Way With Words Team
In a semi-supervised speech data setup, a portion of the dataset is labelled by humans, while a much larger portion remains unlabelled.
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Why Is Gender Balance Necessary in Datasets to Reduce Bias?
By Way With Words Team
The need for gender balance in speech datasets extends beyond technical quality—it is a matter of social justice, ethics, and law.
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How Does Audio Session Length Training Impact Speech Datasets?
By Way With Words Team
This article explores the dimensions of audio session length training, why it matters, and how to balance short and long recordings.
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Reliable Voice Diary Speech Data Use in Behavioural Studies
By Way With Words Team
This article explores why researchers use voice diary speech data in behavioural research, how data is collected, and what analytical techniques are applied.
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How Valuable is Call Centre Speech Data for Research?
By Way With Words Team
From conversational AI to sentiment analysis, the applications of call centre speech data are vast and transformative.
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What Tools Are Used for Mobile Speech Data Gathering?
By Way With Words Team
This article explores the tools and practices used for mobile speech data gathering, and key considerations around data security and limitations.
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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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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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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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