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Singing voice beat tracking is a challenging task, due to the lack of musical accompaniment that often contains robust rhythmic and harmonic patterns, something most existing beat tracking systems utilize and can be essential for estimating…

Sound · Computer Science 2025-03-14 Jiajun Deng , Yaolong Ju , Jing Yang , Simon Lui , Xunying Liu

Language models pretrained on text-only corpora often struggle with tasks that require auditory commonsense knowledge. Previous work addresses this problem by augmenting the language model to retrieve knowledge from external audio…

Computation and Language · Computer Science 2025-06-10 Suho Yoo , Hyunjong Ok , Jaeho Lee

Advanced auditory models are useful in designing signal-processing algorithms for hearing-loss compensation or speech enhancement. Such auditory models provide rich and detailed descriptions of the auditory pathway, and might allow for…

Audio and Speech Processing · Electrical Eng. & Systems 2024-03-18 Peter Leer , Jesper Jensen , Zheng-Hua Tan , Jan Østergaard , Lars Bramsløw

The abundant recurrent horizontal and feedback connections in the primate visual cortex are thought to play an important role in bringing global and semantic contextual information to early visual areas during perceptual inference, helping…

Neurons and Cognition · Quantitative Biology 2019-12-24 Siming Yan , Xuyang Fang , Bowen Xiao , Harold Rockwell , Yimeng Zhang , Tai Sing Lee

For cellular biochemical reaction systems where the numbers of molecules is small, significant noise is associated with chemical reaction events. This molecular noise can give rise to behavior that is very different from the predictions of…

Molecular Networks · Quantitative Biology 2009-11-13 Matthew Scott , Terence Hwa , Brian Ingalls

Most neurons in peripheral sensory pathways initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. It is unclear how this phenomenon affects stimulus representation in the later stages of…

Neurons and Cognition · Quantitative Biology 2012-10-29 Farzad Farkhooi , Anja Froese , Eilif Muller , Randolf Menzel , Martin P. Nawrot

In this paper, we propose and investigate the use of neural audio codec language models for the automatic generation of sample-based musical instruments based on text or reference audio prompts. Our approach extends a generative audio…

Audio and Speech Processing · Electrical Eng. & Systems 2024-07-23 Shahan Nercessian , Johannes Imort , Ninon Devis , Frederik Blang

The feedback mechanisms triggered by supernova (SN) events and active galactic nuclei (AGN) play a central role in regulating the star formation and shaping galaxy properties. However, quantifying the impact and efficiency of these…

Astrophysics of Galaxies · Physics 2024-07-12 M. C. Zerbo , M. E. De Rossi , M. A. Lara-López , S. A. Cora , L. J. Zenocratti

Multiple interlinked positive feedback loops shape the stimulus responses of various biochemical systems, such as the cell cycle or intracellular calcium release. Recent studies with simplified models have identified two advantages of…

Molecular Networks · Quantitative Biology 2012-08-31 Paul Smolen , Douglas A. Baxter , John H. Byrne

Recent years have seen an explosion in the availability of Voice User Interfaces. However, user surveys suggest that there are issues with respect to usability, and it has been hypothesised that contemporary voice-enabled systems are…

Human-Computer Interaction · Computer Science 2019-07-29 Roger K. Moore

Natural and artificial audition can in principle acquire different solutions to a given problem. The constraints of the task, however, can nudge the cognitive science and engineering of audition to qualitatively converge, suggesting that a…

Sound · Computer Science 2023-04-20 Federico Adolfi , Jeffrey S. Bowers , David Poeppel

Hair cells of the auditory and vestibular systems display astonishing sensitivity, frequency selectivity, and temporal resolution to external signals. These specialized cells utilize an internal active amplifier to achieve highly sensitive…

Neurons and Cognition · Quantitative Biology 2021-03-31 Justin Faber , Hancheng Li , Dolores Bozovic

Despite progress in melody-to-lyric generation, a substantial singability gap remains between machine-generated lyrics and those written by human lyricists. In this work, we aim to narrow this gap by jointly learning both wording and…

Computation and Language · Computer Science 2025-12-15 Longshen Ou , Xichu Ma , Ye Wang

Cortical sensory neurons are known to be highly variable, in the sense that responses evoked by identical stimuli often change dramatically from trial to trial. The origin of this variability is uncertain, but it is usually interpreted as…

Neurons and Cognition · Quantitative Biology 2007-05-23 Gleb Basalyga , Emilio Salinas

Experiments to understand the sensorimotor neural interactions in the human cortical speech system support the existence of a bidirectional flow of interactions between the auditory and motor regions. Their key function is to enable the…

Audio and Speech Processing · Electrical Eng. & Systems 2023-05-18 Yashish M. Siriwardena , Guilhem Marion , Shihab Shamma

Artificial neural networks are increasingly powerful models of brain computation, yet it remains unclear whether improving their performance in downstream tasks also makes their internal representations more similar to brain signals. To…

Machine Learning · Computer Science 2026-03-05 Leonardo Pepino , Pablo Riera , Juan Kamienkowski , Luciana Ferrer

Insects are an integral part of our ecosystem. These often small and evasive animals have a big impact on their surroundings, providing a large part of the present biodiversity and pollination duties, forming the foundation of the food…

Sound · Computer Science 2022-11-18 Marius Faiß

The hair cells of the vertebrate inner ear convert mechanical stimuli to electrical signals. Two adaptation mechanisms are known to modify the ionic current flowing through the transduction channels of the hair bundles: a rapid process…

Biological Physics · Physics 2009-11-10 Andrej Vilfan , Thomas Duke

Neuronal spikes directly drive muscles and endow animals with agile movements, but applying the spike-based control signals to actuators in artificial sensor-motor systems inevitably causes a collapse of learning. We developed a system that…

Neurons and Cognition · Quantitative Biology 2026-03-03 Takeshi Kobayashi , Shogo Yonekura , Yasuo Kuniyoshi

We present an exploratory framework to test whether noise-like input can induce structured responses in language models. Instead of assuming that extraterrestrial signals must be decoded, we evaluate whether inputs can trigger linguistic…

Instrumentation and Methods for Astrophysics · Physics 2025-06-04 Po-Chieh Yu