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 18
SCISSOR: Score-Conditioned Instrument Source Separation for Orchestral Recordings
Orchestral separation recovers instrument sections from mixtures in which shared pitches, harmonics, and timbres obscure source identity.Language Discrimination Improves Linguistic Learning in Multilingual Speech Models
Multilingual self-supervised speech models can benefit from sharing information across languages, but under a matched total pretraining data budget they still fall short of monolingual models.From Script to Drama: An Agentic Framework for Controllable Multi-Speaker Dialogue TTS
Multi-speaker dialogue TTS requires natural speech generation, consistent speaker identity, coherent cross-turn transitions, and fine-grained control of expressive attributes such as emotion…What Survives the Codec Shift: Pooled No-Vocals Residuals for Speech Deepfake Detection
The transition from vocoder-based to neural-codec speech synthesis makes generalization more difficult for speech deepfake detectors, particularly those relying on speech-oriented representations.CORA: A Protocol for Diagnosing Boundary Robustness in Text-to-Audio Retrieval under Query Reformulations
Text-to-Audio (T2A) retrievers are typically evaluated with caption style queries, but the same user intent can be expressed in many forms.Context Spanning: A Communication Framework for Full-Duplex Speech Models and External LLM Backends
Full-duplex spoken dialogue models can listen and speak simultaneously like the real-time dynamics of human conversation.Mask-Induced Displacement in Audio XAI via Logit Trajectory Decomposition
Perturbation-based XAI methods for audio classifiers often estimate feature importance by masking spectrogram regions and crediting output changes to the retained signal.DuraS2ST: Chain-of-Thought and Reinforcement Learning for Duration-Aligned Speech-to-Speech Translation
Speech-to-speech translation (S2ST) in time-sensitive applications such as video dubbing requires not only semantic fidelity and speaker preservation, but also strict duration consistency to avoid…Transformer-based Neural Beamforming for Real-Time Speech Enhancement on Smart Low-Power Hearable Devices
Accurate, efficient, and low-latency spatial beamforming is a key component in emerging smart hearable devices, enhancing speech while suppressing noise and interference.YuE2: Unifying Symbolic and Audio Music Generation at Frontier Quality
Symbolic models make melody, harmony, rhythm, and form explicit but typically stop before a finished recording; audio models produce complete songs while leaving composition implicit.Tokens Change, Structure Endures: Spectral Watermarking for Generated Speech
Watermarking is a promising tool for establishing the provenance of AI-generated speech.Controlling Speaking Rate in Autoregressive TTS via Activation Steering
Autoregressive text-to-speech (TTS) systems synthesize natural speech but, once trained, offer little control over speaking rate.In-Context Adaptation of Encoder-Decoder Models in Speech Recognition
In-context learning offers an appealing approach to adapt automatic speech recognition (ASR) models to new speakers, accents, and domains by providing speech-text pairs as demonstrations at…Uncovering shortcut learning in audio classifiers by discovering recurring concepts in temporal explanations
Correlations between events in machine learning datasets may result in shortcut learning, where models learn to predict the target event based on the presence of a correlated event.Binaural Audio-Visual Instance Segmentation
Audio-visual segmentation (AVS) aims to segment sounding objects at the pixel level by integrating auditory and visual cues.Beyond Dyadic Memory: Interaction-Aware Multimodal Memory with Adaptive Agentic Retrieval for Multi-Party Spoken Conversations
Long-term memory enables agents to accumulate information and reason across sessions, yet existing research primarily focuses on dyadic text or image-text conversations, leaving long-term memory for…Do Audio LLMs Listen Before They Act? Diagnosing Acoustic-Context Gating in Voice Agents
Audio language models can recognize spoken commands and invoke tools, but an agent must first decide whether the acoustic and conversational context warrants action.SAGE: Semantic Audio Generative Encoder
Audio autoencoders compress waveforms into compact latent representations that serve as the interface between raw audio and downstream models.Getting Motif-ated: Controllable AI Compositions from Injected Motif Prompts
Deep learning has transformed symbolic music generation by borrowing the training paradigms of large language models, with systems such as NotaGen now producing complete, stylistically convincing…Finding Emotions Where They Belong: Rethinking Audio Emotion Recognition through Masked Temporal Affective Grounding
Audio emotion recognition (AER) typically assigns a single label to an entire recording, leaving the temporal scope of that label ambiguous when multiple speakers and affective events are present.