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 11
Context Spanning: A Communication Framework for Full-Duplex Speech Models and External LLM Backends
Full-duplex spoken dialogue models can listen and speak simultaneously like the real-time dynamics of human conversation.Mask-Induced Displacement in Audio XAI via Logit Trajectory Decomposition
Perturbation-based XAI methods for audio classifiers often estimate feature importance by masking spectrogram regions and crediting output changes to the retained signal.Jev Matches 7B Language Models for Speech-Neuroprosthesis Rescoring
A speech neuroprosthesis decodes attempted speech from brain activity and ends by rescoring the decoder's candidate sentences with a language model of several billion parameters, the only component…DuraS2ST: Chain-of-Thought and Reinforcement Learning for Duration-Aligned Speech-to-Speech Translation
Speech-to-speech translation (S2ST) in time-sensitive applications such as video dubbing requires not only semantic fidelity and speaker preservation, but also strict duration consistency to avoid…Transformer-based Neural Beamforming for Real-Time Speech Enhancement on Smart Low-Power Hearable Devices
Accurate, efficient, and low-latency spatial beamforming is a key component in emerging smart hearable devices, enhancing speech while suppressing noise and interference.YuE2: Unifying Symbolic and Audio Music Generation at Frontier Quality
Symbolic models make melody, harmony, rhythm, and form explicit but typically stop before a finished recording; audio models produce complete songs while leaving composition implicit.Tokens Change, Structure Endures: Spectral Watermarking for Generated Speech
Watermarking is a promising tool for establishing the provenance of AI-generated speech.Controlling Speaking Rate in Autoregressive TTS via Activation Steering
Autoregressive text-to-speech (TTS) systems synthesize natural speech but, once trained, offer little control over speaking rate.In-Context Adaptation of Encoder-Decoder Models in Speech Recognition
In-context learning offers an appealing approach to adapt automatic speech recognition (ASR) models to new speakers, accents, and domains by providing speech-text pairs as demonstrations at…Binaural Audio-Visual Instance Segmentation
Audio-visual segmentation (AVS) aims to segment sounding objects at the pixel level by integrating auditory and visual cues.Beyond Dyadic Memory: Interaction-Aware Multimodal Memory with Adaptive Agentic Retrieval for Multi-Party Spoken Conversations
Long-term memory enables agents to accumulate information and reason across sessions, yet existing research primarily focuses on dyadic text or image-text conversations, leaving long-term memory for…Do Audio LLMs Listen Before They Act? Diagnosing Acoustic-Context Gating in Voice Agents
Audio language models can recognize spoken commands and invoke tools, but an agent must first decide whether the acoustic and conversational context warrants action.SAGE: Semantic Audio Generative Encoder
Audio autoencoders compress waveforms into compact latent representations that serve as the interface between raw audio and downstream models.Getting Motif-ated: Controllable AI Compositions from Injected Motif Prompts
Deep learning has transformed symbolic music generation by borrowing the training paradigms of large language models, with systems such as NotaGen now producing complete, stylistically convincing…Finding Emotions Where They Belong: Rethinking Audio Emotion Recognition through Masked Temporal Affective Grounding
Audio emotion recognition (AER) typically assigns a single label to an entire recording, leaving the temporal scope of that label ambiguous when multiple speakers and affective events are present.Learning Natural Conversational Behavior in Tandem Speech-to-Speech Models with Randomized Guidance
Tandem speech-to-speech architectures couple a responsive speech frontend with an asynchronous text backend.Symbiotic Architecture for Post-Hoc Audio Extension of Frozen Language Models
This paper proposes an architecture for equipping large language models (LLMs) with audio-understanding capabilities without fine-tuning their weights.Subject-Invariant Cross-Modal Decoding of Perceived Speech from Brain Recordings
Perceived speech decoding based on non-invasive brain-computer interface (BCI) signals has been extensively studied in recent years.I-Parakeet: Integer-Only Conformer ASR on Mobile NPU
In this paper, we propose I-Parakeet, an integer-only implementation of NVIDIA's Parakeet-CTC (0.6B parameters) that runs on a smartphone NPU without any floating-point operator or CPU fallback.Training-Free Pronunciation Transcription via Text-Constrained Acoustic Rescoring
Accurate and efficient pronunciation transcription is essential for preparing text-to-speech training data at scale.