Engineering & Signals · Interdisciplinary & Society
Audio & Speech Processing
The newest papers in Audio & Speech Processing that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
334 papers, from 8 September 2026 to 4 November 2026: 334 arXiv preprints.
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Newest papers, page 16
Reducing the Output-Mode Gap in Speech Language Models via Joint-Output On-Policy Distillation
Autoregressive generation of interleaved text and acoustic tokens is a common approach to spoken-response generation in speech large language models.Modeling, Scaling, and Decoding: Optimizing Controllable Speech Generation with Nonverbal Vocalizations
Controllable synthesis of nonverbal vocalizations (NVVs) is es- sential for natural and expressive speech, but remains challeng- ing due to their acoustic diversity and imbalanced distribution in…AURA: Unified Multimodal Framework for Conversational Music Editing
Instruction-guided music editors typically process each request independently, limiting their ability to support workflows in which users progressively refine a track.Bridging the Modality Gap in Long-Form Clinical Audio: A Comparative Study of Lightweight and Heavyweight End-to-End SOAP Generation
Automating clinical documentation from long-form doctor-patient conversations remains challenging for modern audio-language models.Neyshekar: An Open Persian Read-Speech Corpus for Automatic Speech Recognition
Neyshekar is presented as an open Persian read-speech corpus designed for coverage of both formal and informal language, named entities, and longer utterances.Exploring Multimodal Turn-Taking Cues in Face-to-Face Conversation using Voice Activity Projection
Turn-taking is a fundamental component of spoken interaction, and while humans naturally rely on both verbal and non-verbal signals, dialogue systems usually depend on audio cues alone.Parameter isolation with domain-specific experts for incremental audio classification
To successfully deploy a model in time-varying environments such as streaming data prediction and sensing control, domain-incremental learning (DIL) has attracted attention since it aims to adapt a…CCMAN: Cognitive Instability-Aware Cross-Modal Attention Network for Interpretable Temporal Biomarkers of Verbal Fluency Speech
Early detection of cognitive decline from speech offers a scalable and non-invasive alternative to conventional clinical assessment.POLARIS: Training-Free Audio Fingerprinting with Saliency-Based Landmarks and Delaunay Grouping
This work presents POLARIS, a training-free audio fingerprinting system that selects landmarks from a locally normalized saliency field and groups them into sparse fingerprints using Delaunay…UniqueShip: Mitigating Data Leakage in Acoustic Ship Classification Benchmark Datasets
Underwater Acoustic Target Recognition (UATR) of ships is well-suited for machine learning, yet its progress is hindered by the lack of large, diverse, and publicly available labeled datasets.Realtime-Venus: A full-duplex interaction system with asynchronous delegation
Natural interaction in digital and physical environments requires continuous perception and timely responses.CRAF: Cross-View Residual-Aware Fusion for Deepfake Speech Detection
Recent advances in speech synthesis and voice conversion have made deepfake speech increasingly realistic, making generalization to unseen spoofing attacks a critical challenge.DiTAR+: Dual Optimization for Robust Autoregressive Diffusion Speech Synthesis
Continuous-latent Autoregressive Diffusion Transformer (AR-DiT) models have demonstrated immense potential in zero-shot speech generation.A New Transformer-Based Approach for Audio-Based Kinship Verification and a New Uncontrolled Mandarin Kinship Speech Dataset
Kinship verification is a task involving determining whether two individuals share a first-order kin relation.TokenMapper: A Step Toward Interoperable Speech Token Translation
Neural audio codecs discretize speech into token sequences, but the resulting token spaces differ in vocabulary and codebook structure, preventing direct communication across models.MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participant
Conversational voice agents have advanced significantly, offering increasingly natural human-machine interactions through both cascaded and end-to-end architectures.CVSS-X: A Multilingual Speech-to-Speech Translation Corpus for 28 Languages
We introduce CVSS-X, a large-scale synthetic speech-to-speech translation corpus that extends CVSS by reversing the translation direction.Building a Production Greek-English Speech Recognizer
We report a multi-month engineering program to build Sophea, a production bilingual Greek-English automatic speech recognition system.Predictive audio representations for early detection and tracking of hidden dynamic objects
Predicting potential dangers is core to safety.Less can be More: What Aspects of Speech Drive End-of-Turn Detection
In conversational AI, detecting when a speaker has finished talking is crucial for natural turn taking.