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 10
SonicWorld: Source-Centric Latent Dynamics for Spatial Audio Reasoning
Dynamic spatial audio reasoning requires a model to associate changing acoustic observations with the correct source and recover its spatial state at a queried time or interval, a challenge…CIViC: Evidence Gates for Audio-Conditioned Visual Prediction on Proxy Tasks
Removing audio can shift a visual predictor's output without showing whether the task uses the intended audio information.Gugak-VocalSet: A Multi-Genre Studio-Quality Dataset of Korean Traditional Singing with Sigimsae Annotations
We present Gugak-VocalSet, the first publicly available audio dataset for Korean traditional singing with dense annotations of sigimsae, a structured pitch contour system of vocal expressions.JSIR: An Audio-Aligned, Multi-Task Dataset of Jazz Standard Recordings
Beat tracking, chord estimation, and structure analysis are staple tasks of music information retrieval.LiveAnon: Improving Privacy and Utility in Streaming Speaker Anonymization with Codec Language Models
Speaker anonymization (SA) aims to conceal speaker identity while preserving linguistic content and emotion, but existing streaming systems often lose emotion information through discrete content…BridgeCodec: Mamba Enhanced Neural Audio Codec with Schrödinger Bridge at Low Bitrate
Neural audio codecs achieve remarkable performance but operate as closed ecosystems with rigidly co-trained encoderdecoder pairs, severely hindering interoperability.Harmonic Representations in Symbolic Music Transformers are Localized and Controllable
Transformer models trained on symbolic music have become remarkably capable.CAST-ASD: Causal Attention over Speakers and Time for Online Active Speaker Detection
We present CAST-ASD (Causal Attention over Speakers and Time), a causal joint model for active speaker detection (ASD).VoTSpeech: Decoupling Voice Design from Speech Generation in Instruction-Following TTS
Instruction-following text-to-speech (TTS) typically leaves voice design implicit, as conventional speaker embeddings encode reference audio rather than text-driven targets.AlignAudio: A Unified Dual-Alignment Framework for Noise-Robust Speech-Conditioned Generation
Speech-conditioned generation maps speech signals to target audio outputs.Training a Compact, Strong, and Realistic Text-to-Speech Model
Text-to-speech (TTS) systems are conventionally optimized for intelligibility and speaker similarity.Explore This! Beat and Downbeat Tracking From a Learned Tatum Grid
State-of-the-art beat tracking is based on neural networks that model beats and downbeats as individual events, often followed by a separate Dynamic Bayesian Network (DBN) enforcing musical…Cross-Lingual TTS for Indian Languages: A Benchmark and Inference-Time Duration Estimation Strategies
Recent alignment-free Text-to-Speech (TTS) models achieve high synthesis quality by removing explicit alignment modules and simplifying training.HiPAD: A Unified Gait, Audio-Visual, and Personality Fusion Network for Depression Detection, with a Hierarchical Personality Ablation and the Calibration Limits of Domain-Adapted LLMs
We present HiPAD, a single fusion network submitted to all six sub-tracks of the MPDD-AVG 2026 depression-detection challenge, covering the Elder and Young cohorts and three modality sets (gait…GAMW: Generation-Aware Mel-Domain Watermarking for TTS Traceability
As text-to-speech (TTS) systems continue to advance, provenance tracking and security verification of synthesized speech have become increasingly important.Word-Aligned Prosody Reflects Speaker Differences More Than Depression or PTSD Severity
Word-aligned prosody is increasingly used to detect depression and posttraumatic stress disorder (PTSD), yet the stability and clinical relevance of these measurements remain unclear.AV-FlowEdit: Training-Free Prompt-Driven Audio-Visual Editing with Event-Aware Spectral Trajectory Preservation
Joint audio-video diffusion models generate synchronized content, but editing existing clips requires target changes without disrupting non-target structure or cross-modal correspondence.From 2.1M Hours of Raw Broadcast Audio to Finnish Speech SSL: Confidence Filtering and Architectural Analysis at Scale
Broadcast archives offer scale and diversity for self-supervised learning (SSL) but contain substantial noisy, non-speech, and multilingual content.Does Location Matter? A Black-Box Causal Audit Reveals Model-Dependent Audio Grounding in LALM Hallucination
Large audio-language models (LALMs) frequently exhibit object hallucination, affirming absent sounds.What Do Audio-Language Judges of Generated Music Listen For? Four Probes with Controls from Expert Ratings
Open audio-language models are used as judges of generated music: given a clip and its text prompt, the model rates the clip, and the judge is validated by how well its ratings correlate with expert…