---
title: "Signal Processing — papers, page 3"
description: "Signal Processing: 153 papers of the Elamur Research library · page 3 of 3 · 126–153, the most cited first — our summary of each, its ideas, references…"
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# 🔊 Signal Processing

153 papers · page 3 of 3 · 126–153 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Signal Processing is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Speech and Audio Processing», «Music and Audio Processing», «Data Management and Algorithms».

## Papers

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/page/2/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) [2](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/page/2/) **3**

126. [**DREAM: A Multicultural Multimodal Dataset Linking Dialogues and Realistic Image Sequences**Juan Mallo, Marcos Estecha-Garitagoitia, Ricardo Cordoba, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mallo-2026-dream-multicultural-multimodal-dataset-linking/)
127. [**Dynamic Layer Selection for Efficient Tone Recognition in Self-Supervised Speech Models**Saint Germes B. BENGONO OBIANG, Norbert TSOPZE, Paulin MELATAGIA YONTA*2026*](https://md.research.elamur.ai/free/en/papers/obiang-2026-dynamic-layer-selection-efficient-tone/)
128. [**Event Chronography in Multi-modal Data: The BME Method for Quantitative Analyses**Anaïs Claire Murat, Maria Koutsombogera, Carl Vogel*2026*](https://md.research.elamur.ai/free/en/papers/murat-2026-event-chronography-multi-modal-data/)
129. [**Fine-tuning Whisper with Spontaneous Persian Speech (SPS)**Behnoosh Namdarzadeh, Nicolas Ballier*2026*](https://md.research.elamur.ai/free/en/papers/namdarzadeh-2026-fine-tuning-whisper-spontaneous-persian/)
130. [**From LLM Prompts to Acoustic Baselines: A Scalable Pipeline for Under-Resourced Disfluent Code-Mixed Speech**Anuran Mitra, Anirvan Chakravarty, Tapabrata Mondal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mitra-2026-llm-prompts-acoustic-baselines-scalable/)
131. [**How Much Data for Stable Formant Values? Pipeline for Convergence Detection Based on Read Speech**Kayla Sward, Johan Sjons, Axel G. Ekstrom*2026*](https://md.research.elamur.ai/free/en/papers/sward-2026-how-much-data-stable-formant/)
132. [**Hybrid CNN-Transformer Architecture for Arabic Speech Emotion Recognition**Youcef Soufiane Gheffari, Oussama Mustapha Benouddane, Samiya Silarbi*2026*](https://md.research.elamur.ai/free/en/papers/gheffari-2026-hybrid-cnn-transformer-architecture-arabic/)
133. [**IQRA 2026: Interspeech Challenge on Automatic Pronunciation Assessment for Modern Standard Arabic (MSA)**Yassine El Kheir, Amit Meghanani, Mostafa Shahin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kheir-2026-iqra-2026-interspeech-challenge-automatic/)
134. [**MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model**Jiaxin Du, Boulbaba Abdeljaouad, Yong Zhuang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/du-2026-mazzikaai-knowledge-based-performance-prompt/)
135. [**Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs**Hunzalah Hassan Bhatti, Firoj Alam, Shammur Absar Chowdhury*2026*](https://md.research.elamur.ai/free/en/papers/bhatti-2026-multi-task-instruction-tuning-data/)
136. [**Nos_Brais-GL: A FAIR Galician TTS Corpus for Neural Speech Synthesis**Adina Ioana Vladu, Antonio Moscoso Sánchez, Carmen Magariños, et al.*2026*](https://md.research.elamur.ai/free/en/papers/vladu-2026-nos-brais-gl-fair-galician/)
137. [**Phonetic-based Ranking for Improved Pseudo-Labeling in Low-Resource ASR**Marco Matassoni, Roberto Gretter, Falavigna Daniele, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matassoni-2026-phonetic-based-ranking-improved-pseudo/)
138. [**Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious Dataset**Nick Rossenbach, Robin Schmitt, Tina Raissi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rossenbach-2026-supplementary-resources-analysis-automatic-speech/)
139. [**TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech Recognition**ChengYeh Yang, Chien-Chun Wang, Li-Wei Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-tg-asr-translation-guided-learning/)
140. [**The Development of Spectral and Temporal Encodings in Speech Sounds**Frank Lihui Tan, Youngah Do*2026*](https://md.research.elamur.ai/free/en/papers/tan-2026-development-spectral-temporal-encodings-speech/)
141. [**Towards Robust Arabic Speech Emotion Recognition with Deep Learning**Youcef Soufiane Gheffari, Samiya Silarbi*2026*](https://md.research.elamur.ai/free/en/papers/gheffari-2026-towards-robust-arabic-speech-emotion/)
142. [**Transfer Learning for Creole TTS: A Pilot Study on Whether Substrate Phonologies or Lexifier Vocabularies Matter More**Emmett Strickland, Marc Evrard, Valentina Fedchenko*2026*](https://md.research.elamur.ai/free/en/papers/strickland-2026-transfer-learning-creole-tts-pilot/)
143. [**TTSVowelViz: A Tool for Visualising Text-to-Speech Model Training via Vowel Spaces**Pasindu Udawatta, Jesin James, Balamurali B T, et al.*2026*](https://md.research.elamur.ai/free/en/papers/udawatta-2026-ttsvowelviz-tool-visualising-text-speech/)
144. [**ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset & Benchmark**Tung X. Nguyen, Nhu Vo, Giang-Son Nguyen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vimedcss-vietnamese-medical-code-switching/)
145. [**Voice Activation Detection for Transcription of Indigenous Languages**Rolando Coto-Solano, Mikaela Browning, Thomas Corrado, et al.*2026*](https://md.research.elamur.ai/free/en/papers/solano-2026-voice-activation-detection-transcription-indigenous/)
146. [**YMIR: A new Benchmark Dataset and Model for Arabic Yemeni Music Genre Classification Using Convolutional Neural Networks**Moeen AL-Makhlafi, Abdulrahman A. AlKannad, Eiad Almekhlafi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/al-makhlafi-2026-ymir-new-benchmark-dataset-model/)
147. [**ArFake: A Robust Framework for Multi-Dialect Arabic Speech Spoofing Detection Benchmark**Mohamed Elsetohy, Alhassan Ehab, Ali Mekky, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elsetohy-2025-arfake-robust-framework-multi-dialect/)
148. [**Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition**Ayhan Kucukmanisa, Derya Gelmez, Sukru Selim Calik, et al.*2025*](https://md.research.elamur.ai/free/en/papers/kucukmanisa-2025-enhancing-quranic-learning-multimodal-deep/)
149. [**Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings**Ghazal Al-Shwayyat, Omer Nezih Gerek*2025*](https://md.research.elamur.ai/free/en/papers/al-shwayyat-2025-hybrid-deep-learning-signal-processing/)
150. [**Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource Task**Maged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad*2025*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2025-poem-meter-classification-recited-arabic/)
151. [**Towards stable AI systems for Evaluating Arabic Pronunciations**Hadi Zaatiti, Hatem Hajri, Osama Abdullah, et al.*2025*](https://md.research.elamur.ai/free/en/papers/zaatiti-2025-towards-stable-ai-systems-evaluating/)
152. [**Arabic Music Classification and Generation using Deep Learning**Mohamed Elshaarawy, Ashrakat Saeed, Mariam Sheta, et al.*2024*](https://md.research.elamur.ai/free/en/papers/elshaarawy-2024-arabic-music-classification-generation-using/)
153. [**A Study of Acoustic Features in Arabic Speaker Identification under Noisy Environmental Conditions**Zhor Benhafid, Kawthar Yasmine Zergat, Abderrahmane Amrouche*2021*](https://md.research.elamur.ai/free/en/papers/benhafid-2021-study-acoustic-features-arabic-speaker/)

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