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 3
Beyond Utterance-Level Speaker Similarity: Perception-Aligned Segmental Evaluation of Accent in Speech Generation
Utterance-level similarity ratings do not reveal where perceived accent differences occur in generated speech.Heard Enough to Act: Early Tool Calling in Spoken Dialogue Systems
Latency-sensitive spoken agents must know not only which tool to call, but also when they have heard enough to act.Gangqinpu: A Multi-Genre, Multi-Task Piano Dataset with Aligned Audio, MIDI, and Musical Scores
Aligned audio, performance MIDI, and musical scores provide valuable supervision for music analysis and performance modeling, yet datasets that jointly align all three modalities remain scarce and…When the Persona Contradicts the Line: Diagnosing Plan-to-Synthesis Failures in Chain-of-Thought TTS
Chain-of-thought TTS systems rely on language-model planners to translate persona and context into vocal delivery, but it is unclear where this intent is lost when the requested affect conflicts…Realizing Low-Precision Storage and Sparse Execution in a Folded FPGA Speech Enhancer
Hardware-aware training often optimizes FPGA resources, latency, or bit operations, but folding changes what compression saves: shared arithmetic decouples precision, weight storage, and scheduled…Geometric Consistency Based Label-Free Validation for Checkpoint Selection in Audio Active Learning
Audio active learning (AL) trains a classifier at low annotation cost by labeling only an informative fraction of an unlabeled collection over successive rounds.Should Pseudo-Labels Share Mini-Batches with Labeled Examples? Semi-Supervised Continual Active Learning with Limited Training Cost
Active learning (AL) reduces annotation by querying informative examples.Integrate the Reward, Don't Sample It: Window Likelihood for Interruptions and Backchannels in Full-Duplex Speech Models
A full-duplex spoken dialogue model must yield when the user cuts in and hold when the user merely backchannels.In-Context Adapter Generation for Compositional Generalization in Large Audio Language Models
Large audio language models (LALMs) have achieved strong performance on standard speech and audio understanding tasks, yet their ability to systematically generalize to novel task compositions…Audio-R1: Audio Reasoning through Reinforcement Learning on Self-Supervised Tasks
Reasoning is increasingly important for large audio-language models (LALMs), yet remains relatively underexplored compared with text-only and vision-language models.RoleHear: Pseudo-Labeling for Semi-Supervised Role-Attributed Streaming Speech Recognition
Streaming automatic speech recognition transcribes at low latency but produces an unattributed word stream, while real-time applications such as customer-service analytics need each word tied to a…X-Dubbing: Speech-to-Speech Translation under Temporal and Visual Constraints
Cross-lingual dubbing aims to convert source speech into target-language speech that remains synchronized with the original video.Concentrated Causal Influence, Distributed Diagnostic Information: Cognitive Impairment Decisions in Large Audio-Language Models
Large audio-language models (LALMs) can assess cognitive impairment (CI) from speech, yet their answers reveal neither which internal components control the decision nor how much CI information is…MG-REPA: Multi-Granularity Representation Alignment for Generative Target Speaker Extraction
Generative target speaker extraction (TSE) models achieve high-quality extraction, but suffer from considerably slow training convergence.Uni-Stream: A Unified Streaming Speech Language Model for Speech Synthesis and Recognition
Unified streaming speech language models aim to support speech recognition and synthesis within a single model, enabling real-time human-computer interaction.DIAL-S2ST: Learning Latency Control for Simultaneous Speech-to-Speech Translation
We propose DIAL-S2ST, a post-training method for learning inference-time latency control in simultaneous speech-to-speech translation models.Supervised Source Separation of Electric Vehicle Interior Noise Using a Hybrid Transformer Architecture
The interior sound of an electric vehicle is a superposition of several distinct noise contributions - wind noise, tire noise, powertrain (electric drive unit and inverter) noise, and…Pseudo-Labels as Rewards, Not Targets: Group-Relative Policy Optimization for Semi-Supervised ASR
Adapting ASR to a domain with only untranscribed audio typically relies on pseudo-labeling, a strong teacher transcribes the audio and a student is fine-tuned on it.Beyond Visible Speakers: Context-Aware Active Speaker Detection with Speaker Registration
Active speaker detection (ASD) relies on audiovisual correspondence between speech and visible faces, yet this correspondence becomes unreliable in crowded scenes, or when visual evidence is…MQAScore: Fine-Grained Text-Music Alignment Evaluation via Large Audio Language Model
Text-to-music alignment is commonly evaluated by the global similarity between text and audio embeddings, which collapses all described attributes into a single score and obscures which ones are…