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 10
Does a prosody-trained representation help beyond trainable fusion? A parameter-matched study with frozen HuBERT
Explicit prosodic cues may help automatic speech recognition (ASR) of spontaneous speech, but auxiliary representations typically require additional trainable components, making it unclear whether…GLaS-JEPA: Gaussian-Regularized Speech SSL without Engineered Prediction Targets
Speech self-supervised learning aims to learn general-purpose representations for downstream speech tasks.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…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.Explainable and Generalisable LLM-based Cognitive Decline Detection with Spontaneous Speech
Alzheimer's disease (AD) and mild cognitive impairment (MCI), which may precede AD, manifest early through subtle linguistic and acoustic alterations.SALMONN-duo: Adaptive Dual-System Coordination for Full-Duplex Voice Agents
Full-duplex speech large language models (LLMs) enable low-latency, natural voice interaction.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.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.Perceptual Quality Loss or Loss of Perceptual Quality?
Contemporary deep speech enhancement (SE) models are often trained with specific auxiliary terms in the loss function as a way to improve their performance in terms of perceptual metrics.Simulation-Based Inference for Plate Reverb System Identification
We address Task A of the 1st DAFx Parameter Estimation Challenge, which aims to retrieve the physical parameters of a plate model from an impulse response.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).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.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.Acoustic Progress Propagation for Long-Horizon Speculative Decoding in ASR
Speculative decoding accelerates autoregressive automatic speech recognition (ASR), but the acceptance length of alignment-aware drafters can saturate as the draft horizon increases.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.