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 9
Steering Speech-Language Models: Training-Free Task Specialization via Contrastive Activation Addition
Activation steering has proven effective for controlling the behavior of Large Language Models (LLMs) at inference time, but its application to SpeechLLMs remains new, and training-free steering…SepRQ : Self-Supervised Speech Mixture Representation Learning via Mask-Free, Multi-Scale Source Separation
Self-supervised learning (SSL) is standard for speech representation learning, but mainstream models are designed around single-speaker audio, limiting their usefulness in multi-speakers scenarios.Learning Jazz Pianist Style with Cross-Attention Conditioning
Jazz pianists develop distinctive traits that experienced listeners can often identify within seconds, yet the features underlying this recognition resist formal description.FASTDIAR: Frame-level speaker encoder for Streaming Diarization
Real-time conversational agents require speaker diarization that streams and runs on a CPU.Child-Adapted Structured Phonological Representations for Interpretable Speech Sound Analysis
Structured phonological representations provide an interpretable alternative to generic speech embeddings, but existing models are largely trained on adult speech.Watch Your Speech: Text-aware Video-to-Speech Synthesis with Textual Conditioning
Video-to-speech synthesis aims to generate natural-sounding speech from silent talking-face videos while ensuring phonetic accuracy.Code-Switching Spoken Language Identification as Multi-Label Set Prediction
Code-switched (CS) speech leaks through the monolingual language identification (LID) filters used to curate massive speech corpora, calling for CS-aware LID (CS-LID).Q-SPT: Learnable Query-Based Compression for Low-Frame-Rate Speech Tokenization
Neural speech codecs increasingly serve as tokenizers for speech language models (SLMs).Beyond Decodability: Do Acoustic Factors Drive Predictions in Speech-Based Alzheimer's Assessment?
Speech-based Alzheimer's disease (AD) assessments increasingly rely on pretrained self-supervised learning (SSL) models that learn acoustic representations directly from raw audio, exposing the…AVSD-Scenes: A Dataset for Audio-Visual Description of Urban Scenes
Natural language descriptions can provide rich semantic representations of audio-visual urban scenes, yet datasets that jointly describe both auditory and visual information remain limited.LAST: Looped Audio Spectrogram Transformer
Increasing depth of transformer models improves recognition, but it comes at a substantial cost.Effects of interpulse-interval variation on deep-learning classification of bat vocalizations
Temporal context may aid automated bat-species classification, but the contribution of specific features remains unclear.A barrier or a booster? Familiarity effects on Mandarin emotion prosody recognition using AI-powered voice cloning
Emotion prosody perception requires simultaneous processing of acoustic cues and speaker identity.Talk2Agent: Benchmarking Voice Interfaces for Text Agents
Large language model (LLM) computer-use agents are typically evaluated with clean written instructions, despite speech being an increasingly popular interface for interacting with such systems.VOSSA: Voiceprint Optimization for Streaming Speech Architectures
Real-time voice conversion (VC) systems commonly rely on pretrained speaker embeddings from automatic speaker verification (ASV) models.From Speech to Editable Concepts: Probing Emotion Recognition with Concept Bottleneck Models
Speech emotion recognition (SER) is the task of assigning emotion labels to utterances.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.Multi-agent Auditory Scene Analysis: Improved Localization Speed and Robustness by Multi-beamformed Speech Quality Feedback
A real-time auditory scene analyzer (ASA) aims to carry out the tasks of locating, separating and classifying the sound sources present in a given acoustic environment.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…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.