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 12
Efficient Audio-Visual Speech Enhancement via Reinforcement Learning-Based Neural Architecture Search
Audio-visual speech enhancement (AVSE) improves speech intelligibility in noisy environments but often relies on computationally expensive models unsuitable for resource-constrained edge devices.Spend Where It Matters: Particle Search with MH Refinement for Budget-Constrained Audio-Visual Alignment
Reward-guided inference-time alignment can improve joint audio-visual generation, but optimizing multiple alignment objectives requires many expensive model evaluations, making existing methods…Two-Stage Multi-modal Learning for Dynamic Audio-Visual Navigation: From Physical Alignment to Scene Aggregation
Embodied Audio-Visual Navigation (AVN) requires an agent to locate sound targets by jointly leveraging visual and auditory cues.VM-ARRAYDPS: Virtual Microphone Augmented Diffusion Posterior Sampling for Unsupervised Blind Speech Separation
Blind Source Separation(BSS) is a fundamental problem in signal processing, aiming to separate multiple source signals from their mixtures without prior knowledge of the sources or the mixing process.Boundary-Free Contextual Biasing: Depth-Adaptive Gating and Reading-Space Matching for Unsegmented Languages
Contextual biasing supplies an ASR system with a list of expected words at inference time, but existing methods rely on word boundaries that Japanese and Chinese do not provide.Mitigating Accent-Language Confusion in Self-Supervised Speech Representations for Language Identification
Spoken language identification (LID) aims to recognize the target language regardless of accent.Tracing Inputs, Verifying Outputs: Validating Attribution in Music Generation
How can we verify whose music contributed to an AI-generated output?Backdooring Acoustic Foundation Models for Physically Realizable Triggers
Acoustic foundation models (AFMs) have democratized acoustic applications, enabling powerful models for tasks ranging from speech recognition to speaker verification with minimal resources.Itgan at NADI 2026 shared task: Parameter-Efficient Whisper Adaptation for Robust, Mixed-Dialect and Code-Switched Arabic ASR
We describe the Itgan systems for the three ASR subtasks of NADI 2026, namely robust country-level ASR (1.1), mixed-dialect ASR (1.2), and Tunisian code-switched ASR (1.3).CARES: A Controlled Synthetic Benchmark of Speaker Reactions to Sound
Automatic audio scene description turns a recording into a text account of a situation.MIRA: A Musical Intent Refinement Agent for Aligning Text-to-Music Generation with User Intent
Text-to-music systems produce increasingly convincing audio, yet evaluation reveals little about whether the result matches user intent.Steerspeech: Activation Steering For Emotion Control In Generated Speech
Pretrained text-to-speech (TTS) models can generate expressive speech, but reliable inference-time emotion control remains challenging: prompts and reference audio offer coarse, inconsistent…SAVU-BENCH: A Real-World Benchmark for Spatial Audio-Visual Understanding
Spatial audio-visual understanding requires models to recognize not only what is present, but also where events occur and how they relate across modalities.BEANS-Next and ROOTS: Broadening Audio-Language Capabilities for Bioacoustics
Bioacoustics and ethology encompass a wide range of audio understanding tasks, many of which stand to benefit from recent advances in large audio-language models.Conversational Voice Aesthetic Model with Reinforcement Learning from Human Listeners
We introduce Conversational Voice Aesthetic Model, a speech large language model for describing the voice aesthetics of real or synthetic speech responses in natural conversational contexts.CircuitTree: Composing Circuits into A Syllable Transcriber
The goal of circuit discovery is to decompose a monolithic neural network into tiny modular subnetworks which are interpretable in the sense that each does an identifiable subtask.SkillFormer: Skill-Decomposed Adaptation for Audio Language Models
Audio language models must handle dozens of distinct skills, from pitch comparison and speaker counting to musical tempo estimation and emotion recognition.Loud and Clear: Dynamic Activation Steering for Improving Speech Intelligibility in Noisy Environments
Speech becomes less intelligible in noisy environments, and humans naturally adapt their voice to compensate.ARIA: Audio-Driven Melody-Tone Relation Modeling for Cantonese Lyric Authoring
Cantonese lyric writing requires close alignment between lexical tones and melodic pitch.Feature Encoding in VAE-based Audio Decoders: Effects of Input, Depth and Distribution
Neural audio synthesis models like the Realtime Audio Variational autoEncoder (RAVE) achieve impressive genera tion quality, yet how their internal representations encode musical features remains…