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 23
Text Scores Can Miss Waveform Use: A Qwen2-Audio Quantization Case Study
Post-training quantization of speech language models is often summarized with text-output scores and nominal bit widths.COT-TTS: Audio Context-Aware Text-to-Speech with Chain-of-Thought Reasoning
Recently, text-to-speech systems have made significant progress in speech expressiveness and controllability.ParA-LLM: A Unified Approach to Paralinguistic and Acoustic Speech Understanding
Recent advances in Audio LLMs have achieved human-level speech recognition, yet existing systems struggle to capture paralinguistic aspects such as speaker traits, expressive variations, and…Discrete vs. Continuous: A Comprehensive Study of Unified Audio Understanding in LALMs
Large Audio Language Models (LALMs) utilize either continuous features or discrete tokens, yet the optimal representation paradigm for general audio understanding remains debated.Bearings: Self-Supervised Soundfield Embeddings from First-Order Ambisonics
Recently proposed self-supervised audio encoders learn powerful general-purpose representations of sound scenes, yet they are spatially blind.EquiSELD: Efficient training of equivariant sound event localization and detection networks
First-order Ambisonics (FOA) signals exhibit exact O(3) symmetry: The rotation or reflection of the FOA signal modifies the direction of arrival of the sound sources, while preserving the sound…I'll Keep an Ear Out: Teaching AudioLLMs Proactive Audio Assistance
Audio large language models (AudioLLMs) operate reactively, responding only when queried.Omni Demand Understanding: A Benchmark for Contextual User-Intent Inference in Multimodal Interaction
Natural audio-visual interaction is emerging as an important interface for AI assistants, allowing users to communicate through speech and vision rather than carefully composed text prompts.The Spoken Wikipedia Presentation Corpus
We present the Spoken Wikipedia Presentation Corpus, an extension of the Spoken Wikipedia Corpora featuring LLM-generated slide decks for multimodal ASR.Listen Before You Speak: Response Planning from Listener Facial Reactions for Conversational Speech Generation
Conversational speech depends on dialogue context and the listener's immediately preceding behavior.Per-Aetiology Contrastive Severity Embeddings with Phonological Pseudo-Labelling for Multilingual Dysarthric Speech
Most multilingual dysarthria-severity systems either train on a single aetiology-language pair or pool heterogeneous aetiologies into one label space.SEABED: SouthEast Asian Benchmark for Evaluating Audio Reasoning
Modern audio-language models are no longer judged only on what words they can transcribe, but on whether they can reason over what they hear: recovering meaning that lives in tone and prosody…CoReLoop: Parameter-Efficient Controlled Recurrent Refinement for Audio Deepfake Detection
Generalizing to unseen attacks remains challenging for audio deepfake detectors, and collecting training data covering all potential attacks is impractical.Robust Workflow Generation via Adversarial Learning for Audio Deepfake Detection
The rapid advancement of speech synthesis and voice conversion technologies has made audio deepfakes increasingly realistic, posing serious security risks in practical applications.Reading Emotions in the Token Space: Discriminative Adaptation of SpeechLLMs for Emotion Recognition
SpeechLLMs have shown strong potential for emotion recognition, yet they read the predicted emotion off a generative decoder not suited for classification: it can emit labels outside the target set…Multi-Dimensional Prosody Judgment For Live Streaming Speech Synthesis
Evaluating live streaming speech synthesis (TTS) requires assessing fine-grained, highly expressive prosody such as emotion, intonation, and energy which traditional MOS predictors fail to capture.Model-Agnostic and Language-Agnostic Voice Pipeline Improvement for the Agriculture Domain
FarmerChat is Digital Green's AI-powered agricultural advisory assistant for smallholder farmers, who access it in their own language through text, voice, or photographs.Voice-Light: A Full-Duplex Cascaded Voice Agent with Causal Turn-Taking and Speculative Generation
Natural spoken interaction requires more than streaming ASR, language generation, and speech synthesis: a system must react to overlap without canceling on every acknowledgment, prepare a response…SG-Mamba: Sparse Graph-Guided Mamba for Audio-Visual Speech Enhancement
Lightweight audio-visual speech enhancement (AVSE) models face a critical trade-off between computational efficiency and cross-modal alignment accuracy.Correlation-Guided Encoder Selection for Multi-Encoder Large Audio-Language Models
Multi-encoder fusion extends Large Audio-Language Models (LALMs) beyond speech-centric recognition, but selecting encoders via intuition or exhaustive search often introduces redundant…