1 code implementation • 17 Oct 2023 • Fernando López, Jordi Luque, Carlos Segura, Pablo Gómez
It employs two models: a lightweight on-device model for real-time processing of the audio stream and a verification model on the server-side, which is an ensemble of heterogeneous architectures that refine detection.
no code implementations • 31 Jan 2023 • Gabriele Castellano, Juan-José Nieto, Jordi Luque, Ferrán Diego, Carlos Segura, Diego Perino, Flavio Esposito, Fulvio Risso, Aravindh Raman
Many real-time applications (e. g., Augmented/Virtual Reality, cognitive assistance) rely on Deep Neural Networks (DNNs) to process inference tasks.
1 code implementation • 16 Apr 2021 • Biel Tura, Santiago Escuder, Ferran Diego, Carlos Segura, Jordi Luque
This work explores the application of Lambda networks, an alternative framework for capturing long-range interactions without attention, for the keyword spotting task.
no code implementations • 29 Jan 2021 • David Bonet, Guillermo Cámbara, Fernando López, Pablo Gómez, Carlos Segura, Jordi Luque
Keyword spotting and in particular Wake-Up-Word (WUW) detection is a very important task for voice assistants.
no code implementations • 2 Nov 2020 • Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Carlos Segura
On the other hand, Multilingual Neural Machine Translation (MultiNMT) approaches rely on higher-quality and more massive data sets.
1 code implementation • 15 Oct 2019 • Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli
Our interaction with the world is an inherently multimodal experience.
3 code implementations • NeurIPS 2019 • Joan Serrà, Santiago Pascual, Carlos Segura
End-to-end models for raw audio generation are a challenge, specially if they have to work with non-parallel data, which is a desirable setup in many situations.
no code implementations • 3 Jun 2019 • Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli
Sounds are an important source of information on our daily interactions with objects.