In Part One of our 2-part series exploring datasets, voice technology and how it impacts the voice acting landscape, Dheeraj Jalali, the Chief Technology Officer at Voices, sits down with us to answer some of the most pressing questions regarding this emerging offering.
In this article
- What are Datasets?
- How are Datasets used?
- Why are Datasets Trending?
- What are Ethically Sourced Datasets?
- Why is Voices in the Dataset Business?
- How is Voice Over Related to Datasets?
- What Do Tech Companies Want from Datasets?
- Conclusion
Read on to learn more about what datasets are, why they’re important and Voices’s role in the datasets space.
What are Datasets?
Jalali: “Datasets encompass organized and structured sets of data, designed for purposes such as analysis, research, or other applications. In our case data refers to voice data, this could be something as simple as multiple voice recordings.”
How are Datasets used?
Jalali: “Companies use datasets for various purposes, including but not limited to training machine learning models, conducting statistical analyses, testing hypotheses, supporting research studies, and more.”
Why are Datasets Trending?
Jalali: “With the rise of AI and machine learning in the tech industry, data is needed at a scale that has never been seen before.
“To achieve optimal performance in AI training, it is crucial to utilize varied and meticulously curated datasets. The dataset selection is contingent upon the particular task or application for which the AI is being trained.
“Also, how this data has been sourced, and the makeup of the dataset is very important to ensure AI is being developed responsibly.”
What are Ethically Sourced Datasets?
Jalali: “Ethically sourced datasets refer to collections of data that have been gathered and managed in a manner that aligns with ethical principles, privacy considerations, and fairness standards.
“Some attributes of ethically sourced datasets are Informed, Consent, Privacy, Protection, Fair Compensation and Legal Compliance.
“Transparency in data collection, contributor autonomy and compensation are also vital.”
Why is Voices in the Dataset Business?
Jalali: “We prioritize datasets, distinguishing ourselves as one of the rare providers of voice datasets in the market committed to ethical sourcing. We focus on constructing datasets with explicit consent and fair compensation principles in mind for our clients.”
How is Voice Over Related to Datasets?
Jalali: “Voice AI systems are directly tied to the quality, diversity, and ethical sourcing of the datasets used for training and development. Access to comprehensive and well-curated voice datasets are essential for building voice AI applications that deliver accurate, inclusive, and reliable performance across a wide range of scenarios.”
What Do Tech Companies Want from Datasets?
Jalali: “Tech companies utilize datasets to train machine learning models, validate algorithms, and advance research and development.
“Datasets are crucial for refining products, analyzing user behavior, and enabling personalization and recommendation systems.
“Quality assurance, cybersecurity, and compliance with ethical standards are also key priorities. Companies seek diverse and representative datasets to avoid biases and ensure inclusive technology.
“Access to well-curated datasets is vital for innovation, allowing tech companies to stay at the forefront of their respective fields while addressing ethical considerations and regulatory requirements for data privacy and protection.”
Conclusion
Hopefully, you now better understand datasets and why Voices is beginning to emerge as an industry leader with voice datasets.
In Part Two of this series, we will look at how your company can harness the power of datasets, the importance of diversity in voice datasets and predictions for the future of voice technology and datasets.
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