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 16
MeanVoiceFlow2: Joint Optimization of Mean Flow and Content Encoder for Fast One-Step Zero-Shot Voice Conversion
Flow-matching approaches to voice conversion (VC) have gained attention owing to their high speech quality and strong speaker similarity.SCB: SpeechConversationBench for Evaluating Multi-Turn Reasoning in Speech-to-Speech Models
Speech-to-speech systems must solve tasks whose requirements emerge across conversational turns.End-to-End Historical Music Restoration in Latent Space
Historical music restoration (HMR) has almost exclusively focused on constrained problems such as Super-Resolution or the restoration of solo pieces, under-exploring the general task of restoring…On Evaluating Quantum Kernel Robustness for Low-Resource Cross-Corpus Audio Deepfake Detection
Synthetic speech detection is critical for audio security, but performance can degrade when labeled data are scarce and evaluation conditions differ from training.Soundwich: Video Generation with Layered and Controllable Audio
Recent joint audio-video generative models can synthesize realistic videos with synchronized sound, but typically generate audio as a single mixed track.AnchorPrompt: Self-Distilled Soft Prompts for Robust Audio-Language Models
Large audio-language models (LALMs) are sensitive to input perturbations, such as noise, waveform corruption, and adversarial injections.Emergent Tonal Structure in Learned Chord Embeddings and Its Relation to Tonal Tension
Several tonal pitch spaces and computational models have been proposed to analyze tonal structure in Western tonal music, many of them grounded in principles from music theory and used to support…InterBias-SV: Compound Conditions in Speaker Verification
Speaker verification systems encounter combinations of noise, channel distortion, and changes in speech.Long-Term Memory-Guided Enhancement for Target Perception in Audio-Language Models
Audio large language models (ALLMs) can reason about the content of audio recordings to perform complex tasks.Reconstructing the Vocal Tract with Differentiable Acoustic Simulation
The vocal tract is the region of the human body responsible for filtering one's voice to create speech.MultiTalk: Scaling Full-Duplex Speech Models to Long, Multi-Party, Bilingual Conversation
End-to-end full-duplex speech models have brought open-source machine conversation closer to human-like interaction, yet existing systems remain limited in two intertwined dimensions: long-context…Repetition, Not Length: Isolating the Counting Failure in Neural Text-to-Speech
Text-to-speech models loop, truncate and lose count on text that repeats a phrase many times.Multichannel Audio Quality Assessment: Extending Pretrained Perceptual Models to Spatial Audio
Accurate perceptual quality assessment is essential for evaluating and optimizing spatial audio, where perceived quality depends on both signal fidelity and inter-channel spatial relationships.Learning as Deepfakes Evolve: RF-Prompt for Continual Audio Deepfake Detection
Continual audio deepfake detection requires learning newly emerging deepfake methods while retaining discrimination of previously encountered speech.AS$^2$D: Accelerating On-Demand Audio Understanding on Mobile Devices
Speculative decoding accelerates autoregressive generation by using a smaller drafter to propose tokens for batched verification by a larger target.GLaS-JEPA: Gaussian-Regularized Speech SSL without Engineered Prediction Targets
Speech self-supervised learning aims to learn general-purpose representations for downstream speech tasks.Pruning for Efficiency, Paying in Fairness: Demographic Disparities in Pruned Speech-LLMs
Speech-LLMs are expensive to run, making compression important for real-world deployment.EmoRES-TTS: Residual-Enhanced Vector Steering for Emotional Speech Generation
Emotion-conditioned text-to-speech (TTS) models may fail to express the requested emotion reliably, and improving controllability by additional training is costly in both computation and…Audible World Models: Spatially Aware Sound Generation for 3D Worlds
Text- and image-conditioned world generators can create visually rich 3D environments, yet these worlds often remain silent or rely on soundtracks synthesized solely from text or rendered video.Role-guided Speaker Deletion Verification in Clinical Psychiatry Speech Recordings with Audio Language Models
Clinical research in psychiatry increasingly relies on large scale collection of spoken language data to identify acoustic and linguistic biomarkers.