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Found 10 papers, 0 papers with code
MSP-Podcast SER Challenge 2024: L'antenne du Ventoux Multimodal Self-Supervised Learning for Speech Emotion Recognition
In this work, we detail our submission to the 2024 edition of the MSP-Podcast Speech Emotion Recognition (SER) Challenge.
Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation
Recent advancements in textless speech-to-speech translation systems have been driven by the adoption of self-supervised learning techniques.
Open-Source Conversational AI with SpeechBrain 1.0
This paper presents SpeechBrain 1. 0, a significant milestone in the evolution of the toolkit, which now has over 200 recipes for speech, audio, and language processing tasks, and more than 100 models available on Hugging Face.
DASB -- Discrete Audio and Speech Benchmark
Discrete audio tokens have recently gained considerable attention for their potential to connect audio and language processing, enabling the creation of modern multimodal large language models.
How Should We Extract Discrete Audio Tokens from Self-Supervised Models?
Discrete audio tokens have recently gained attention for their potential to bridge the gap between audio and language processing.
Enhancing expressivity transfer in textless speech-to-speech translation
Textless speech-to-speech translation systems are rapidly advancing, thanks to the integration of self-supervised learning techniques.
Direct Text to Speech Translation System using Acoustic Units
This framework employs text in different source languages as input to generate speech in the target language without the need for text transcriptions in this language.
Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data
We propose a method for speech-to-speech emotionpreserving translation that operates at the level of discrete speech units.
End-to-end model for named entity recognition from speech without paired training data
Our approach is based on the use of an external model trained to generate a sequence of vectorial representations from text.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Study on the temporal pooling used in deep neural networks for speaker verification
The x-vector architecture has recently achieved state-of-the-art results on the speaker verification task.
