ML Engineer with a PhD in AI & Cognitive Neuroscience

Zurich, Switzerland
Joined February 2015
Really excited to present our paper at the #NeurIPS2024 Workshop #SSL: Theory and Practice today at 12:30, West Meeting Room 202-204, Vancouver Convention Center. Come and find me! – at Vancouver, British Columbia
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I always wanted a job that could make a real impact in our world. That's why I joined @Speechmatics in its mission of understanding every voice. Building inclusive tech has the power to break down barriers and truly change lives.
🗓️ Today is #WorldInclusionDay 🗓️ What does the future of #inclusivity look like when speech tech meets LLMs and AI? Watch this film, produced for us by @BBCStoryWorks, to see how we're improving educational experiences with Flow. #BeyondTheCode 🎥 speechmatics.com/company/art…
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Benedetta Cevoli retweeted
Accuracy is THE definitive benchmark of quality for speech technology 🎯 Without it, you lose trust in your transcription, and any process built with it might be susceptible to compounding errors. More errors = less trust Fewer errors = more trust, more quality, more value. But don't just take our word for it. @ArtificialAnlys, an independent third party conducting benchmarks on AI systems, has independently assessed all leading speech vendors. And their latest results reveal.... .... .... Speechmatics is the definitive market leader on accuracy, with the lowest WER available🥇🥇🥇 When close enough isn't good enough - choose @Speeechmatics Check out the full breakdown 👇🔗 artificialanalysis.ai/speech…
Congratulations to @Speechmatics on setting a new record in our Word Error Rate benchmark for Speech to Text models! Speechmatics’ Enhanced model has achieved a Word Error Rate of 6.5%, the best result yet among the models we test. Accuracy is most important for use-cases involving audio that might be noisy, of variable quality and involving a wide range of speakers. For full details, see our Speech to Text leaderboard: artificialanalysis.ai/speech…
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This is the next frontier of AI 🦾 Bringing together the best of Speech Recognition and breakthroughs in LLMs, voice is now the biggest untapped resource in the world. This is foundational speech technology for the AI era 👉 bit.ly/3SlXCFt
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Natural #speech is spontaneous, messy, and noisy. Actually using #speech #tech in the real world can be a very different experience from what we might think when we look at #accuracy in the "lab". 👀
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In this blog, Stuart Wood and I talk about important factors to consider when you're #evaluating speech recognition and how on the surface level #OpenAI's Whisper might appear to be more accurate than #Speechmatics. 🧐 speechmatics.com/company/art…
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Benedetta Cevoli retweeted
🎙️📷 Interspeech Day 1! This year, Speechmatics is providing captions at #Interspeech2023, boosting accessibility for all attendees. Meet the team behind our AI-driven speech recognition. Book a meeting here to connect at the conference bit.ly/3shDjOG 🗓️🚀
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Benedetta Cevoli retweeted
If you don't have time to watch the full video of @sama in congress, I used @Speechmatics to transcribe the full video and the latest @AnthropicAI Claude 100k Context Window to summerise the whole transcript:
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Benedetta Cevoli retweeted
Speechlings, @BCevoli and Bethan Thomas hosting the @SHaPS_UCL Speech Science Forum today 🙌🗣️🗯️
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Looking forward to talking at the @SHaPS_UCL Speech Science Forum on the 23rd 🎤 We will explore the sample efficiency benefits that we see from #selfsupervised learning and how it is enabling us to reach best-in-class #ASR performance 💥 Join us ucl.ac.uk/pals/events/2023/m…
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Benedetta Cevoli retweeted
Repeated this test with new Speechmatics. WER 6.88. Indeed new Ursa model improved a lot!
A quick test of popular SaaS ASR services recently. More or less they are the same. Whisper really shines for English. Async processing: AssemblyAI 11.01 Rev 15.25 Soniox 11.81 Whisper Largev2 8.94 Whisper Med.En 9.29 Nemo RNNT 19.61
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