This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Transcribing overlapping speakers is a long-standing challenge for AI models.
To date, the approach has been to first transcribe as though there is just one speaker, and then identify and separate the speaker transcripts using speaker identification and diarisation models. This is tricky for overlapping speech.
Chorus v1 is a single model capable of transcribing one speaker at a time. It works by training a separate token for the first speaker to speak and the second speaker to speak. I'm not sure why this wasn't tried before, or at least isn't used more widely (lmk if you find a reference doing it).
Chorus v1 is now live as an open-weights model on HuggingFace and available for use via Trelis Router.
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About Chorus v1 on Product Hunt
“Transcribe Overlapping Speakers”
Chorus v1 was submitted on Product Hunt and earned 8 upvotes and 1 comments, placing #51 on the daily leaderboard. A single model capable of transcribing two overlapping speakers. No separate diarisation needed. Helpful for meetings and dialogues.
Chorus v1 was featured in Meetings (6.4k followers), Artificial Intelligence (466.6k followers) and Audio (2k followers) on Product Hunt. Together, these topics include over 94k products, making this a competitive space to launch in.
Who hunted Chorus v1?
Chorus v1 was hunted by Ronan McGovern. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Chorus v1 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ronan McGovern