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Month: November 2023

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  • 2023
  • November

Robust Wake-up Word by Two-stage Multi-resolution Ensembles

November 27, 2023December 4, 2023 daniel

Speaker: William Fernando López Gaviánez. Abstract: Voice-based interfaces rely on a wake-up word mechanism to initiate communication with devices. However, achieving a robust, energy-efficient, and fast detection remains a challenge. This paper addresses these real production needs by enhancing data… Read More

AUDIAS Seminars

Towards automatic inspection of nuclear fuel elements in spent fuel storage with AI tools.

November 20, 2023December 4, 2023 daniel

Speaker: Sergio Segovia González. Abstract: New way to automatize the inspection of nuclear fuel elements in spent fuel storage processing video signal and audio signal. For video signal, it is developed a custom database including images from several nuclear facilities… Read More

AUDIAS Seminars

FLIP (Fitness Landscape Inference for Proteins)

November 6, 2023November 10, 2023 daniel

Speaker: Natalia Pinto Estéban. Abstract: Machine learning is growing in significance across various research domains. One of these domains is biology, specifically focusing on protein engineering and directed evolution techniques. This presentation is grounded in the FLIP paper (Fitness Landscape… Read More

AUDIAS Seminars

AUDIAS Seminars

Transformer-Based Automatic Music Transcription for Piano with Noise Robustness and Mobile Deployment

October 9, 2026

Speaker: Miguel Fernández Lara. Abstract: This work presents the development…

Approximating f-Divergences with Rank Statistics

September 25, 2026

Speaker: José Manuel de Frutos Porras. Abstract: Comparing probability distributions…

Fused Semantic-Speaker Retrieval from Speech Databases

September 18, 2026

Speaker: Jan Zdenek. Abstract: Semantic speech retrieval systems typically focus…

From Audio to Trustworthy AI: A Research Journey

September 11, 2026

Speaker: Patricia Alonso de Apellaniz Abstract: This talk traces a…

About AUDIAS

AUDIAS is a solid research group addressing challenging problems in speech, audio and temporal signals from deep foundations in machine learning and signal processing.

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Highlights

Transformer-Based Automatic Music Transcription for Piano with Noise Robustness and Mobile Deployment

October 9, 2026

Approximating f-Divergences with Rank Statistics

September 25, 2026
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