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 17
Tacit-TTS: From Autoregressive Decoding to Masked Prediction for Efficient Transcript-Free Voice Cloning
TTS systems with autoregressive semantic modeling have demonstrated strong zero-shot voice cloning performance and rich expressive variation, but their sequential decoding incurs substantial latency.Uncovering Ordinal-Matching Bias in Audio-Visual LLMs
This work aims to improve how audio-visual large language models (AVLLMs) associate speech with the correct visible speaker in multi-speaker scenes.SAIL: Spatial Audio Intelligence with Large Language Models via Disentangled Acoustic-Spatial Encoding and Dual-Stream Q-Former
Spatial audio large language models (LLMs) enable embodied agents, wearable assistants, and immersive systems to recognize sound events, localize sources, and reason about their spatial relationships.Joint and Cross-Modal Video-Audio Generation and Editing: A Unified Formulation and Design Taxonomy
Video and audio are perceived together, yet most generative models treat them in isolation.Harmonizing Spectral Evolution in Conditional Flow Matching for TTS
Conditional Flow Matching (CFM) models for text-to-speech (TTS) suffer from incoherent frequency evolution during inference.SpeechCritic: Learning a Diagnostic Speech Judge from Limited Human Preferences
Human speech conveys rich perceptual information, such as emotion and speaker identity, yet most automatic speech quality judges reduce it to a single naturalness score.SEmoEdit: Probing and Harnessing the Editability of Pre-trained Speech Flows
Existing training-based speech emotion editing methods often require substantial task-specific training and can be unstable.From Human Narrative to Harmonic Structure: A Human-Centered Investigation of Algorithmic Music Generation through the Chord Wheel Diagram
Contemporary AI-based music generation can produce compositions that satisfy formal requirements of tonality and musical coherence.On Temporal Binding in Large Audio Language Models
Reasoning about temporal structure of audio recordings requires Large Audio Language Models (LALMs) to associate sound events with their temporal position.SincDPNet: Interpretable Raw-Waveform Bathroom Activity Recognition for Assistive Living
Bathroom acoustic-event recognition can support ambient assisted living in settings where continuous video monitoring is undesirable.JazzSAMBA: A Synchronous and Asynchronous Multi-take Band Audio Dataset of Jazz Standards for Live Music Models
Machine learning has made strong progress on music tasks, both as assistive tools and as creative partners.Sub-Model Short-Term Memory Convolutions for Keyword Spotting Systems on Device
Keyword Spotting (KWS) is becoming increasingly important as voice-controlled devices grow more widespread.GLAD: Global-Local Adaptive Detector for Robust Speech Deepfake Detection
Recent advances in AI-based speech synthesis have enabled highly realistic speech, increasing the importance of speech deepfake detection (SDD) in preventing misuse.CoSE-E: A Benchmark for Code-switched Speech Evaluation in Enterprise Settings
Code-switching (CS), a seamless alternation between languages within a single utterance, remains a critical challenge in automatic speech recognition (ASR).Almost Human, Except When It Matters: VoxParity and the Decisions a Voice Should Change
A voice agent can handle almost every call on the words alone and still fail the few its sector's rules were written for.HEAR: Real Voices, Real Bias: A Large-Scale Human-Recorded, Demographically Diverse Benchmark for Audio Language Models
We introduce HEAR (Human-recorded Evaluation of Audio-LLM bias by Real speakers), a large-scale, ecologically valid benchmark comprising 87k real human audio samples from 843 demographically diverse…Distill Locally, Schedule Globally: Flow Maps for Few-Step Text-to-Speech
Flow-matching text-to-speech (TTS) models achieve high synthesis quality but require many neural function evaluations (NFEs) to integrate their generative trajectories.When Does a Spoken Agent Have Enough Evidence to Act? The PACT-SLM Contract Test
Streaming spoken agents may take an external action before the available speech supports it, yet final-turn scores do not reveal whether each observed prefix supports that action.Overview and Analysis of the RecSys Challenge 2026: Conversational Music Recommendation
The RecSys Challenge 2026 studies conversational music recommendation as a joint item recommendation and response generation problem: given a multi-turn dialogue, systems must retrieve relevant…CoLMbo-SV: A Grounded Language Model for Explainable Speaker Verification
Speaker verification systems achieve high accuracy but provide little account of the acoustic evidence behind their judgments.