Applied & Human-Centered · Computer Science & AI
Sound
The newest papers in Sound that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
553 papers, from 4 September 2026 to 5 November 2026: 553 arXiv preprints.
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Newest papers, page 9
HRTF Upsampling and Personalization via Neural Operators
Head-related transfer function (HRTF) spatial upsampling from sparse measurements is a fundamental challenge in personalized binaural audio.Reference-Guided Turn-Taking Style Transfer for Full-Duplex Spoken Language Models
Full-duplex spoken language models decide at every frame whether to take the floor, defining a conversational personality -- yet each set of weights encodes exactly one, which human speakers bracket…EEG-Based Prediction of Music Enjoyment Using Deep Learning with Explainable Temporal Analysis
Understanding why listeners enjoy music is difficult because the experience is subjective and changes as a piece unfolds.PEDBench: Can Speech Models Detect Phonetic Errors?
Phonetic error detection (PED) aims to identify phoneme-level substitutions, deletions, and insertions and is essential for educational and clinical speech assessment and intervention.SNOAR: Self-training with Noise filtering, Observation adding, and Remixing for Speech Denoising Without Clean References
Unsupervised speech denoising methods such as MixIT and noisy-target training can be trained directly on noisy recordings, avoiding the sim-to-real gap of synthetic training data, but remain well…MIDI-REPA: Improving Text-to-Music Generation with Symbolic Representation Alignment
State-of-the-art text-to-music models increasingly rely on scaling model capacity, data, and compute, while still learning musical structure directly from dense audio.From Individual Songs to Music Corpora: Evaluating Explainable Harmonic Decision-Making on HookTheory
Automatic melody harmonization is often evaluated through individual compositions or data-driven corpus models.SSEmb: Training a Generalizable Speech Retrieval Model Using Only Automatic Speech Recognition Data
End-to-end speech-to-text retrieval is becoming an important capability for voice agents, allowing spoken queries to retrieve relevant documents without intermediate transcription.Fish Audio Drama 3 Technical Report
We introduce Fish Audio Drama 3, an open-source speech generation model that turns text into directed performances, built on a 35B-parameter mixture-of-experts backbone that activates 3B parameters…GeoMER: A Joint Euclidean-Hyperbolic Geometry Framework for Multimodal Emotion Recognition
Multimodal Emotion Recognition (MER) aims to understand human emotions by integrating information from multiple modalities such as speech and text.PhysicsSliders: Learning Physical Controls for Audio Foley Generation
Physical properties provide intuitive controls for sounds made by interacting objects.AMemOps: Evaluating Memory Updates in Long Audio Streams
Audio memory must recognise recurring sources across acoustic changes while keeping their attributes up to date.An Initial Study of Physiological Markers for Deepfake Speech Detection
Conventional deepfake speech detectors primarily target synthesis artifacts and often degrade under unseen attacks or recording conditions.From Detection To Anticipation: Continuous Onset Forecasting For Stuttered Speech
Automatic stuttering systems primarily detect dysfluencies after they have occurred, limiting their use for anticipatory intervention.Adaptive Compression and Targeted Perturbation: A Unified Framework for Generalized Audio Deepfake Detection
Existing audio deepfake detection (ADD) methods frequently exhibit limited generalization, as fixed bottleneck architectures fail to adapt to the heterogeneous information densities inherent in…SyncReward: Human-Aligned Synchronization Reward for Audio-Visual Generation
Recent years have witnessed rapid progress in joint audio--visual generation.LLM-HB: Language-Aware LLM-Guided Hotword Biasing for Code-Switching ASR
Code-switching (CS) speech, characterized by language alternation within a single utterance, is prevalent in multilingual communities and poses challenges to automatic speech recognition (ASR) due…Predicting Audio Popularity: A Comparative Study of Metadata and Acoustic Features Across Music and Sound Effects
This study addresses the prediction of audio popularity on an online sharing platform by leveraging both metadata and acoustic feature representations.Unsupervised Data Drift Monitoring for Deployed Deepfake Speech Detectors
Deepfake speech detectors are typically evaluated as binary classifiers on fixed benchmarks, but deployed systems face evolving attacks, codecs, speakers, and recording conditions, with labels…UA-Bench: Benchmarking Large Audio-Language Models on Underwater Acoustic Recognition
Large audio-language models (LALMs) are fast becoming a general interface to sound, yet how far their broad pretraining carries into specialized domains remains largely open.