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 14
Not Quite My Tempo: Voice Activity-aware Speech Synthesis for Lip-Synchronous Dubbing
Automatic lip-synchronous dubbing requires a speech synthesis model to generate alternating voice and silence patterns in the target language that match the timing of the source clip precisely to…Spoken Language Models that Think Aloud
While Chain-of-Thought (CoT) reasoning has improved the capability of language models, directly applying it to Spoken Language Models (SLMs) may introduce long silent intervals under the serial…Transcribe, Translate, and Optimize: Joint Reward Learning for Speech Translation
In LLM-based speech translation, transcription-based chain-of-thought (CoT) suffers from a mismatch between reference transcripts used in supervised fine-tuning (SFT) and model-generated transcripts…ROAM-ASD: Robust Open-World Active Speaker Detection with Flexible Multimodal Fusion
Active speaker detection (ASD) requires reliable association between visible faces and acoustic speech, yet existing systems often degrade under challenging domains or incomplete observations.AURA: Uncertainty-Routed Activation Editing for Acoustic Grounding in Speech Foundation Models
Attention encoder-decoder (AED) Speech Foundation Models achieve strong ASR performance but can generate acoustically unsupported text when inputs contain no speech, weak acoustic evidence, or…MECT: Mixture of Experts with CNN-Transformer Network for Speaker verification
In this paper, we propose MECT, a speaker verification model that integrates the Mixture-of-Experts (MoE) mechanism into a CNN-Transformer backbone with optimized block structure and stacking scheme.P2Flow: Phoneme-aware Progressive Flow Matching for Extreme Speech Super-Resolution
Generative models have recently demonstrated considerable promise in speech super-resolution (SSR).Morpho-VITS: Variational Inference with Morphological Modeling for End-to-End Speech Synthesis of a Tonal Bantu Language
Text-to-speech models for Bantu tonal languages are challenged by a tonal system that is rooted in both the lexis (i.e., the inventory of words, stems, and affixes) and the grammar (i.e…XSQ-AST: An Explainable Audio Spectrogram Transformer Framework for Localising Synthetic Speech Artifacts
Localising artifacts in synthetic speech remains challenging, as most evaluation methods yield only global quality scores.Qwen-Audio-3.1-Realtime: Towards Reliable Agentic Voice Interaction
Real-time voice assistants must reason over evolving requests, execute actions, and follow conversational rules.Qwen-Audio-Agent Technical Report
We present Qwen-Audio-Agent, a harness that combines full-duplex voice interaction with asynchronous task execution through a foreground-background architecture.Learnable Classifier-Free Guidance Null Embeddings for Enhanced Controllable Speech Synthesis
Classifier-free Guidance (CFG) is widely adopted in text-to-speech (TTS) systems to enhance generation quality and conditioning fidelity by interpolating between conditioned and unconditioned…Low-Rank Frequency Convolution and Noise-Range Augmentation for Real-Time Pitch Estimation on Edge Devices
Pitch estimation on an edge device is constrained in three ways at once.Long-Tail Rebalancing for Non-Verbal Vocalization-Aware ASR: A Track 1 System for the NVVSpeech Challenge
Non-verbal vocalizations (NVVs) carry important paralinguistic information but are often omitted by conventional automatic speech recognition (ASR) systems.Listen Then Reason: Perception-Grounded Test-Time Reinforcement Learning for Large Audio-Language Models
Large audio-language models (LALMs) are increasingly used for a broader range of audio reasoning tasks.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…Signal-Informed Temporal Routing for Vinyl Defect Regime Detection
Vinyl restoration systems must distinguish isolated clicks, short bursts, dense crackle, and overlapping damage before selecting a repair operation.OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue
We define OmniVChat (Omni Video Chat) as the task of native audio-visual dialogue between a user and an omni model.