The creation, transmission, and interpretation of audio signals on computer systems.
Depression is a major global mental health concern. To address this, the paper presents a method for depression detection by integrating speech signals into Large Language Models (LLMs) using Acoustic…
Continue readingThe article presents a machine learning model designed to predict mortality rates in heart failure patients using voice biomarkers. The model uses a logistic regression system trained with patients’ speech…
Continue readingThe paper proposes a new structure-informed positional encoding framework for music generation with Transformers. The authors note that music generated by deep learning often lacks coherence and long-term organization, which…
Continue readingThe article focuses on the impact of batch size on pre-training in self-supervised speech representation learning. The study uses varying batch sizes and observes that larger batch sizes result in…
Continue readingThis paper presents a new approach for music style transfer using diffusion models. This approach effectively captures musical attributes with minimal data and introduces a novel time-varying textual inversion module…
Continue readingThe paper discusses a proposed AI and ML integrated audio fingerprinting algorithm to improve accuracy. The research builds on the Dejavu Project’s foundations and emphasizes real-world scenario simulations with diverse…
Continue readingThe article discusses the role and limitations of in-car Voice Assistants (VAs) in automotive user interface design. It presents a study investigating the effectiveness of an in-car Robot Assistant (RA)…
Continue readingThe article discusses the development of a new model for speech enhancement called SICRN. The model uses a state space model and inplace convolution techniques to enhance speech quality, especially…
Continue readingThe study presents Daisy-TTS, a text-to-speech system that simulates a broad spectrum of emotions. It uses a prosody encoder to learn emotionally-separable prosody embedding, which acts as a proxy for…
Continue readingThis study explores the potential risks of AI in music production, suggesting that AI could develop biases towards certain artists and potentially monopolize music history. The authors use the term…
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