Papercup blog archive

AI & tech
5 min read
Here's how we handle large-scale data
Here's why quality over quantity does not apply to data in speech
AI & tech
4 min read
Large language models: revolutionizing AI dubbing and beyond
Our product manager on the transformational capabilities of large language models
AI & tech
3 min read
Breaking new ground: AI voices and AI dubbing for kid’s content
Unlocked: AI dubbing for kids' content
AI & tech
4 min read
How data is used in AI dubbing...
...And how we use and acquire it at Papercup
AI & tech
5 min read
Will AI replace voice actors?
Voice actors worry that AI will take their jobs. Here's why we don't think so.
AI & tech
4 min read
Automating translation of emotion across languages: a closer look under the hood
Introducing XLPT: The first wholly automated system to translate emotion across languages!
AI & tech
5 min read
AI dubbing vs. traditional dubbing: when to use different localization methods
Are AI dubbing and traditional dubbing sworn enemies or complementary methods serving growing global content demand?
AI & tech
5 min read
What are AI voices and how do they work?
Here's how they're made, by whom, for what, and how Papercup's sound so lifelike.
AI & tech
3 mins read
Decoding voice cloning for AI dubbing: the most common questions answered
Here's how voice clones are made, when they should be used and why.
AI & tech
5 min read
Teaching computers to speak: the prosody problem
Here's what machine learning researchers must tackle to achieve C-3PO level synthetic speech.
AI & tech
3 min read
2023 – a look back at a year of generative AI, digital and streaming media
A lookback at 2023 – the year generative AI exploded, major shifts in the digital and streaming worlds, and some key Papercup milestones.
AI & tech
3 min read
Crafting AI voices that exceed audience expectations
If dubbed content fails on translation accuracy, emotional depth and clarity, it won't engage audiences.

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