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title: "Speech & spoken language — papers, page 3"
description: "Speech & spoken language: 171 papers of the Elamur Research library · page 3 of 3 · 126–171, the most cited first."
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# 🎙️ Speech & spoken language

171 papers · page 3 of 3 · 126–171 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

Spoken language: recognizing and synthesizing speech, prosody and the sounds of words.

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126. [**Arabic Little STT: Arabic Children Speech Recognition Dataset**Mouhand Alkadri, Dania Desouki, Khloud Al Jallad*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alkadri-2025-arabic-little-stt-arabic-children/)
127. [**A New Benchmark for Evaluating Automatic Speech Recognition in the Arabic Call Domain**Qusai Abo Obaidah, Muhy Eddin Za'ter, Adnan Jaljuli, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/obaidah-2024-new-benchmark-evaluating-automatic-speech/)
128. [**Enhancing TTS Stability in Hebrew using Discrete Semantic Units**Ella Zeldes, Or Tal, Yossi Adi*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zeldes-2024-enhancing-tts-stability-hebrew-using/)
129. [**Potential of ASR for the study of L2 learner corpora**Sarra El Ayari, Zhongjie Li*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ayari-2024-potential-asr-study-l2-learner/)
130. [**FOOCTTS: Generating Arabic Speech with Acoustic Environment for Football Commentator**Massa Baali, Ahmed Ali*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/baali-2023-fooctts-generating-arabic-speech-acoustic/)
131. [**Arabic Text-To-Speech (TTS) Data Preparation**Hala Al Masri, Muhy Eddin Za'ter*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/masri-2022-arabic-text-speech-tts-data/)
132. [**Analysis of Data Augmentation Methods for Low-Resource Maltese ASR**Andrea DeMarco; Carlos Mena; Albert Gatt; Claudia Borg; Aiden Williams;, Lonneke van der Plas*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/demarco-2021-analysis-data-augmentation-methods-low/)
133. [**Jabalin: a Comprehensive Computational Model of Modern Standard Arabic Verbal Morphology Based on Traditional Arabic Prosody**Alicia Gonzalez Martinez, Susana Lopez Hervas, Doaa Samy, et al.*2014 · 1 citation*](https://md.research.elamur.ai/free/en/papers/martinez-2014-jabalin-comprehensive-computational-model-modern/)
134. [**A Benchmark Dataset and Comparative Evaluation of Phonemized and Romanized Urdu for Text-to-Speech**M Kaab Bin Shahid, Muhammed Izharuddin*2026*](https://md.research.elamur.ai/free/en/papers/shahid-2026-benchmark-dataset-comparative-evaluation-phonemized/)
135. [**A Practical Evaluation Method for Long-Form Simultaneous Speech-to-Speech Translation**Yulin Xue, Siqi Ouyang, Lei Li*2026*](https://md.research.elamur.ai/free/en/papers/xue-2026-practical-evaluation-method-long-form/)
136. [**A Sociophonetic Analysis of Racial Bias in Commercial ASR Systems Using the Pacific Northwest English Corpus**Michael Scott, Siyu Liang, Alicia Wassink, et al.*2026*](https://md.research.elamur.ai/free/en/papers/scott-2026-sociophonetic-analysis-racial-bias-commercial/)
137. [**Almieyar: A Culturally Grounded Benchmark for Multi-Dialect Arabic Speech Recognition**Omid Ghahroodi, Anas Madkoor, Dima Faris Al Saudi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ghahroodi-2026-almieyar-culturally-grounded-benchmark-multi/)
138. [**Amulwe Kimün: A Community-Grounded Demo, Resource, and ASR Baseline for Mapuzugun**Cristian Eduardo Ahumada Oliva, Fatiha Sadat*2026*](https://md.research.elamur.ai/free/en/papers/oliva-2026-amulwe-kimun-community-grounded-demo/)
139. [**Audio description between MT translation and recreation: An Interview Study for the Language Pair English-German**Merle Sauter, Ekaterina Lapshinova-Koltunski, Sylvia Jaki*2026*](https://md.research.elamur.ai/free/en/papers/sauter-2026-audio-description-between-mt-translation/)
140. [**AusKidTalk: Developing Transcription Guidelines for Continuous Australian English Child Speech**Tuende Szalay, Zheng Nan, Renata Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/szalay-2026-auskidtalk-developing-transcription-guidelines-continuous/)
141. [**Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan**Chihiro Taguchi, Yukinori Takubo, David Chiang*2026*](https://md.research.elamur.ai/free/en/papers/taguchi-2026-automatic-speech-recognition-documenting-endangered/)
142. [**Building Collaborative Speech Corpora for Low-Resource Languages: The Galician Dataset in Mozilla Common Voice**Adina Ioana Vladu, Elisa Fernández Rei, María Pérez Lago*2026*](https://md.research.elamur.ai/free/en/papers/vladu-2026-building-collaborative-speech-corpora-low/)
143. [**ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech Recognition**Jiaming Zhou, Yujie Guo, Shiwan Zhao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-childtalk-multi-dialect-chinese-child/)
144. [**CrossOracle: An Agentic Framework for Real-Time Expert Personas with Parallelized Acoustic Synthesis**Yash Raj Singh*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-crossoracle-agentic-framework-real-time/)
145. [**DialogueSidon: Recovering Full-Duplex Dialogue Tracks from In-the-Wild Dialogue Audio**Wataru Nakata, Yuki Saito, Kazuki Yamauchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakata-2026-dialoguesidon-recovering-full-duplex-dialogue/)
146. [**Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?**Luca Modica, Filip Landin, Mehrdad Farahani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/modica-2026-do-factual-recall-mechanisms-carry/)
147. [**EmoAra: Emotion-Preserving English Speech Transcription and Cross-Lingual Translation with Arabic Text-to-Speech**Besher Hassan, Ibrahim Alsarraj, Musaab Hasan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hassan-2026-emoara-emotion-preserving-english-speech/)
148. [**English to Central Kurdish Speech Translation: Corpus Creation, Evaluation, and Orthographic Standardization**Mohammad Mohammadamini, Daban Jaff, Josep Crego, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mohammadamini-2026-english-central-kurdish-speech-translation/)
149. [**Evaluation of Paralinguistic-Aware Spoken Dialogue Systems using Next-Utterance Classification**Kouki Miyazawa, Yoshinao Sato*2026*](https://md.research.elamur.ai/free/en/papers/miyazawa-2026-evaluation-paralinguistic-aware-spoken-dialogue/)
150. [**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/)
151. [**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/)
152. [**Is Semi-Automatic Transcription Useful in Corpus Creation? Preliminary Considerations on the KIParla Corpus**Martina Simonotti, Ludovica Pannitto, Eleonora Zucchini, et al.*2026*](https://md.research.elamur.ai/free/en/papers/simonotti-2026-is-semi-automatic-transcription-useful/)
153. [**Leveraging Semi-Supervised Learning for Multimodal Hate Speech Data Annotation and Detection**Rathi Adarshi Rammohan, Zhao Ren, Dominik Puchała, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rammohan-2026-leveraging-semi-supervised-learning-multimodal/)
154. [**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/)
155. [**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/)
156. [**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/)
157. [**Regional Variation in the Performance of ASR Models on Croatian and Serbian**Tanja Samardžić, Peter Rupnik, Nikola Ljubešić*2026*](https://md.research.elamur.ai/free/en/papers/samardzic-2026-regional-variation-performance-asr-models/)
158. [**ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion**Maxim Melichov, Yakov Kolani, Morris Alper*2026*](https://md.research.elamur.ai/free/en/papers/melichov-2026-renikud-audio-supervised-hebrew-grapheme/)
159. [**Roles of Predictability and Acoustic Distance in Sound Discrimination via Contrastive Learning**Shuhao Zhang, Youngah Do*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-roles-predictability-acoustic-distance-sound/)
160. [**Southern Kurdish Speech Recognition Resources and Benchmarking**Mohammad Mohammadamini, Marie Tahon*2026*](https://md.research.elamur.ai/free/en/papers/mohammadamini-2026-southern-kurdish-speech-recognition-resources/)
161. [**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/)
162. [**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/)
163. [**ToneSwiper: Facilitating Manual ToDI-annotation of Dutch Prosody**Matthijs Westera, Ariëlle Reitsema*2026*](https://md.research.elamur.ai/free/en/papers/westera-2026-toneswiper-facilitating-manual-todi-annotation/)
164. [**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/)
165. [**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/)
166. [**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/)
167. [**ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words**Hazem Darwish, Abdalrahman Al Malah, Khloud Al Jallad, et al.*2024*](https://md.research.elamur.ai/free/en/papers/darwish-2024-areeg-words-dataset-envisioned-speech/)
168. [**NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case Study**Matthew Nazari*2024*](https://md.research.elamur.ai/free/en/papers/nazari-2024-nolor-asr-based-framework-expedited/)
169. [**The Maaloula Aramaic Speech Corpus (MASC): From Printed Material to a Lemmatized and Time-Aligned Corpus**Ghattas Eid, Esther Seyffarth, Ingo Plag*2022*](https://md.research.elamur.ai/free/en/papers/eid-2022-maaloula-aramaic-speech-corpus-masc/)
170. [**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/)
171. [**English Grammar Past and Present, with appendices on prosody, synonyms, and other outlying subjects**John Collinson Nesfield*1898*](https://md.research.elamur.ai/free/en/papers/nesfield-1898-english-grammar-past-present/)

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