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 15
Samsone: A Family of Open Small Audio Language Models for On-Device Inference
The success of Large Audio Language Models has driven the development of massive multimodal networks exceeding billions of parameters.The Spoken Wikipedia Presentation Corpus
We present the Spoken Wikipedia Presentation Corpus, an extension of the Spoken Wikipedia Corpora featuring LLM-generated slide decks for multimodal ASR.Reusing Latent Speech Representations for Query-Conditioned Topic Localization in Transcripts
Long transcripts are costly inputs for downstream NLP systems and often contain irrelevant context.VākQA: A Benchmark and Evaluation Study for Telugu Spoken Factoid Question Answering
Question answering has advanced rapidly with large language models, but predominantly for high-resource languages, in both text and spoken settings.Reading Emotions in the Token Space: Discriminative Adaptation of SpeechLLMs for Emotion Recognition
SpeechLLMs have shown strong potential for emotion recognition, yet they read the predicted emotion off a generative decoder not suited for classification: it can emit labels outside the target set…Model-Agnostic and Language-Agnostic Voice Pipeline Improvement for the Agriculture Domain
FarmerChat is Digital Green's AI-powered agricultural advisory assistant for smallholder farmers, who access it in their own language through text, voice, or photographs.Voice-Light: A Full-Duplex Cascaded Voice Agent with Causal Turn-Taking and Speculative Generation
Natural spoken interaction requires more than streaming ASR, language generation, and speech synthesis: a system must react to overlap without canceling on every acknowledgment, prepare a response…The Hidden Cost of Digits: Number Normalization and WER in ASR Systems
Modern automatic speech recognition (ASR) systems trained on extremely large datasets can produce transcripts with numbers written in Arabic numerals.Encoder Awakening via Adapters: Effective Domain-Adaptive Fine-tuning of Speech-LLMs
Speech Large Language Models (Speech-LLMs), typically built from a pre-trained speech encoder, a modality projector, and an LLM fine-tuned with Low-Rank Adapters (LoRA), have shown strong Automatic…SG-Mamba: Sparse Graph-Guided Mamba for Audio-Visual Speech Enhancement
Lightweight audio-visual speech enhancement (AVSE) models face a critical trade-off between computational efficiency and cross-modal alignment accuracy.Correlation-Guided Encoder Selection for Multi-Encoder Large Audio-Language Models
Multi-encoder fusion extends Large Audio-Language Models (LALMs) beyond speech-centric recognition, but selecting encoders via intuition or exhaustive search often introduces redundant…VoiceTrace: A Benchmark and Retrieval Framework for Who-Said-What Speech Retrieval
Speech retrieval has become increasingly important as spoken content continues to grow across meetings, lectures, podcasts, and videos.TTM-Bench: A Framework for Text-to-Music System Performance Benchmarking
Text-to-music (TTM) systems are increasingly used to generate musical audio from natural-language descriptions.GrainSpeech: Less Context, More Detail for Compact Speech Synthesis
Compact acoustic models face a challenging quality-capacity trade-off.Cross-Lingual Parkinson's Disease Severity Assessment Using Pre-trained Speech Embeddings: A Multi-Class Evaluation
Parkinson's disease (PD) often manifests through speech impairments, facilitating accessible, non-invasive, and cost-effective severity assessment for early diagnosis and progression tracking.Language Orthogonalization for Zero-Shot Cross-Lingual Audio Deepfake Detection
Audio deepfake detectors need to transfer to languages absent from training, as multilingual speech synthesis outpaces labeled anti-spoofing resources.CAL-MOS: Bridging Layers with Adapters for Robust MOS Prediction Across Speech Foundation Models
Speech Quality Assessment (SQA) is essential for modern speech technologies, and recent non-intrusive SQA predictors increasingly rely on Speech Foundation Models (SFMs).Learned Bow Control on a Measured Bowed-String Model: a Revised Minimum-Bow-Force Law, a Recurrent Controller, and the Domain of a Supervision Ceiling
A finite-difference bowed-string model with implicitly resolved Stribeck friction is presented, with a regime diagnostic, the Schelleng bow-force limits on four strings, and a comparison of learned…Typhoon ASR Streaming: Steerable Low-Latency Thai Speech Recognition with Real-Time Shallow Fusion
Open Thai automatic speech recognition (ASR) is dominated by offline, Whisper-based models that read the whole utterance before transcribing, ruling out low-latency uses such as live captioning and…Interpreting hierarchical organisation of speaker embeddings
Speaker recognition neural networks learn latent representations (i.e. speaker embeddings) from input utterances to recognise speaker identities.