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Here’s how we handle large-scale speech data
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Here’s how our machine learning operations team on handling large-scale data We’re entering a world where many foundational machine learning
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Large language models: revolutionizing AI dubbing and beyond
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Large language models: revolutionizing AI dubbing and beyond In late November 2022, OpenAI released ChatGPT to the public, and it quickly became the fastest-ever
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Breaking new ground: AI voices and AI dubbing for kid’s content
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Breaking new ground: AI voices and AI dubbing for kid’s content Creating voices for kids’ content using artificial intelligence is uniquely challenging.
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How data is used in AI dubbing…
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How data is used in AI dubbing Data is the cornerstone of any generative AI company. In AI dubbing, the quality and effectiveness of synthetic voices hinges
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Will AI replace voice actors?
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Will AI replace voice actors? No, nor should it. While the fears are not totally unfounded—AI is transforming the dubbing industry in ways unimaginable
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Automating translation of emotion across languages: a closer look under the hood
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At Papercup, our mission has always been clear: make the world’s videos watchable in any language. We’re not just aiming for translation;
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AI dubbing vs. traditional dubbing: when to use different localization methods
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AI dubbing vs. traditional dubbing: when to use each localization method Over the last half-decade, social and streaming platforms have proliferated in
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What are AI voices and how do they work?
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At Papercup, we’ve built over a hundred proprietary (custom-made) AI voices which we use to automate dubbing. Our voices are customizable, they speak
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Decoding voice cloning for AI dubbing: the most common questions answered
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Voice cloning, often referred to as deepfake voices or synthetic voices, uses machine learning models to copy the characteristics of an individual’
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Teaching computers to speak: the prosody problem
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https://www.papercup.com/blog/large-language-models Article by Papercup’s Head of Product, Kilian Butler For hundreds of years, people have