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 13
Beyond Model Size: Redesigning LiSenNet for embedded speech enhancement
Deploying real-time speech enhancement on resource-constrained devices requires meeting strict latency, memory, and energy constraints.Does per-frame early exit pay? A compute-matched study of dynamic depth for on-device speech enhancement
Deep learning-based speech enhancement is increasingly deployed on-device in hearing aids, headsets, and earbuds.A Training Criterion with Token-Level Tolerance to Transcription Ambiguity for Automatic Speech Recognition
Automatic speech recognition is typically trained assuming that the reference transcript is the only valid labeling of an utterance, yet even nominally verbatim transcripts contain localized…Inference-Time Target Speaker Unlearning in LLM-Based Automatic Speech Recognition
We introduce target-speaker unlearning ASR (TSU-ASR) task in a fully end-to-end framework for multi-speaker ASR and diarization.Asymmetric Classifier-Free Guidance for Target-Speaker ASR
Target-speaker automatic speech recognition (TS-ASR) must identify and transcribe a desired speaker under varying overlap and noise conditions.AcoustiClaim: A Numeric Claim Benchmark with Instrument Ground Truth
Audio language models state numbers for acoustic quantities, and neither human opinion nor a judge model says whether such a number is true of the signal.Seeing Speech: Learning Visible Articulatory Dynamics for Speech-Driven 3D Facial Animation
Recent progress in speech-driven 3D facial animation has improved vertex-level reconstruction quality, but speech-consistent visible articulation remains difficult.Don't CLAP: Are Music-Text Models Bag-of-Words?
Text-to-music systems are assessed on audio quality and on how faithfully the music follows its prompt, and the CLAP score, the cosine similarity between a music-text model's audio and text…Adapting Personalized Speech Enhancement for Low-Latency Audio-Visual Target-Speaker Extraction
Online audio-visual target-speaker extraction aims to remove competing voices while preserving speech quality and bounding lookahead.PRIME-ANC: Path-Ratio-Informed Modeling for Efficient Neural Filter Synthesis in Active Noise Control
Changes in listener acoustics require active noise control (ANC) filters to be redesigned for new acoustic paths.Cross-Modal Knowledge Distillation for Acoustic Pedestrian Detection
Audio-only pedestrian detection is attractive for urban sensing but limited by weak acoustic cues.Optimal transport meets speech: a tutorial review
Optimal Transport (OT) provides a principled framework for comparing and transforming probability distributions while preserving geometric structure.Physiologically Informed Digital Auscultation for Pneumonia Detection in Long-term Care Residents
Pneumonia is difficult to diagnose in older long-term care residents; multimorbidity and atypical presentations obscure signs, motivating operationally efficient objective testing.Anomaly-Free Self-Optimization via AUC Bounds
Anomalies are rare, and anomalous data are often unavailable during development, making it difficult to determine which anomaly detection models and configurations will generalize to unseen anomalies.Spooftral: Can Voxtral Audio-Language Model Detect Speech Spoofing?
Self-supervised learning (SSL) countermeasures (CMs) have shown strong performance in recent years.A Harness for Synthesizing Diverse Naturalistic Full-Duplex Conversations
Full-duplex dialogue systems, which listen while speaking, must distinguish a completed turn from a pause within a turn and an interruption that requests a turn from a brief acknowledgment or speech…Acoustic domain shift in spoken language identification from systematic domain generalization evaluation to real-world application
Domain Generalization (DG) aims to develop models that remain robust to conditions unseen during training.Synthesis and editing of multi-instrument audio mixtures using scalar-quantised latents with MIDI Span conditioning
Music creation often involves iterative refinement, changing selected musical details while retaining the rest.SE-MSB: End-to-End Unpaired Speech Enhancement using Mamba Schrödinger Bridges
Speech enhancement (SE) models typically rely on supervised learning with paired data examples where clean speech is synthetically degraded.Enriching Speech Emotion Representations with Conversational Context
Detecting emotions is necessary for building systems that can accurately and adaptively interact with humans.