Scaling Transformer-based Text-to-Speech with Knowledge Distillation
ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics
Modality-aware Multi-task Learning to Optimize Ad Targeting at Scale
Optimizing Query Expansions via LLM Preference Alignment
Latest Publications
We publish research papers and present our work in a wide range of venues.
More publicationsScaling Transformer-based Text-to-Speech with Knowledge Distillation
Erik Henriksson, Tom Merritt, Rasmus Dall, Felix Vaughan, Veronica Morfi
An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify
Shivam Verma, Vivian Chen, Darren Mei
ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics
Georges Dupret, Konstantin Sozinov, Carmen Barcena Gonzalez, Ziggy Zacks, Amber Yuan, Ben Carterette, Manuel Mai, Andrey Gatash, Gwo Liang Lien, Shubham Bansal, Roberto Sanchis-Ojeda, Mounia Lalmas
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How do we create more personalized experiences? What can we learn about listeners on how they use written language? How do we optimize testing methodologies? Explore all our research areas below.
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We're expanding knowledge of audio and video technology every day, sharing open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.
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