Implementation and test of a serious game based on minimal pairs for pronunciation training. - David Escudero Mancebo; Enrique Cámara Arenas; Cristian Tejedor García; César González Ferreras; Valentín Cardeñoso-Payo (SLaTE, 2015)

Measuring Pronunciation Improvement in Users of CAPT Tool TipTopTalk! - Cristian Tejedor García; David Escudero Mancebo; Enrique Cámara Arenas; César González Ferreras; Valentín Cardeñoso-Payo (INTERSPEECH, 2016)

Evaluating the Efficiency of Synthetic Voice for Providing Corrective Feedback in a Pronunciation Training Tool Based on Minimal Pairs. - Cristian Tejedor García; David Escudero 001; César González Ferreras; Enrique Cámara Arenas; Valentín Cardeñoso-Payo (SLaTE, 2017)

Japañol: a mobile application to help improving Spanish pronunciation by Japanese native speakers. - Cristian Tejedor García; Valentín Cardeñoso-Payo; David Escudero Mancebo (IberSPEECH, 2018)

Improving Pronunciation of Spanish as a Foreign Language for L1 Japanese Speakers with Japañol CAPT Tool. - Cristian Tejedor García; Valentín Cardeñoso-Payo; María J. Machuca; David Escudero Mancebo; Antonio Ríos; Takuya Kimura (IberSPEECH, 2018)

Using Challenges to Enhance a Learning Game for Pronunciation Training of English as a Second Language. - Cristian Tejedor García; David Escudero Mancebo; Valentín Cardeñoso-Payo; César González Ferreras (IEEE Access, 2020)

Assessing Pronunciation Improvement in Students of English Using a Controlled Computer-Assisted Pronunciation Tool. - Cristian Tejedor García; David Escudero Mancebo; Enrique Cámara Arenas; César González Ferreras; Valentín Cardeñoso-Payo (IEEE Trans. Learn. Technol., 2020)

Performance Comparison of Specific and General-Purpose ASR Systems for Pronunciation Assessment of Japanese Learners of Spanish. - Cristian Tejedor García; Valentín Cardeñoso-Payo; David Escudero Mancebo (IberSPEECH, 2021)

Design and Evaluation of Mobile Computer-Assisted Pronunciation Training Tools for Second Language Learning: a Ph.D. Thesis Overview. - Cristian Tejedor García; Valentín Cardeñoso-Payo; David Escudero Mancebo (IberSPEECH, 2021)

An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders. - Yu Bai; Cristian Tejedor García; Ferdy Hubers; Catia Cucchiarini; Helmer Strik (SPECOM, 2021)

Towards an Open-Source Dutch Speech Recognition System for the Healthcare Domain. - Cristian Tejedor García; Berrie van der Molen; Henk van den Heuvel; Arjan van Hessen; Toine Pieters (LREC, 2022)

Comparing Modular and End-To-End Approaches in ASR for Well-Resourced and Low-Resourced Languages. - Aditya Parikh; Louis ten Bosch; Henk van den Heuvel; Cristian Tejedor García (ICNLSP, 2023)

Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses. - Lucía Gómez-Zaragozá; Simone Wills; Cristian Tejedor García; Javier Marín-Morales; Mariano Alcañiz; Helmer Strik (INTERSPEECH, 2023)

Automatic Assessment of Oral Reading Accuracy for Reading Diagnostics. - Bo Molenaar; Cristian Tejedor García; Catia Cucchiarini; Helmer Strik (INTERSPEECH, 2023)

Automatic Speech Recognition of Non-Native Child Speech for Language Learning Applications (Short Paper). - Simone Wills; Yu Bai; Cristian Tejedor García; Catia Cucchiarini; Helmer Strik (SLATE, 2023)

Enhancing ASR-Based Educational Applications: Peer Evaluation of Non-Native Child Speech. - Simone Wills; Cristian Tejedor García; Catia Cucchiarini; Helmer Strik (SLaTE, 2023)

Automatic Speech Recognition of Non-Native Child Speech for Language Learning Applications. - Simone Wills; Yu Bai; Cristian Tejedor García; Catia Cucchiarini; Helmer Strik (CoRR, 2023)

Reading Miscue Detection in Primary School through Automatic Speech Recognition. - Lingyun Gao; Cristian Tejedor García; Helmer Strik; Catia Cucchiarini (INTERSPEECH, 2024)

Innovative Speech-Based Deep Learning Approaches for Parkinson's Disease Classification: A Systematic Review. - Lisanne van Gelderen; Cristian Tejedor García (CoRR, 2024)

Scenario of Use Scheme: Threat Model Specification for Speaker Privacy Protection in the Medical Domain. - Mehtab Ur Rahman; Martha A. Larson; Louis ten Bosch; Cristian Tejedor García (CoRR, 2024)

Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers. - Terry Yi Zhong; Esther Janse; Cristian Tejedor García; Louis ten Bosch; Martha A. Larson (CoRR, 2025)

Evaluating the Effectiveness of Pre-Trained Audio Embeddings for Classification of Parkinson's Disease Speech Data. - Emmy Postma; Cristian Tejedor García (CoRR, 2025)

Enhancing GOP in CTC-Based Mispronunciation Detection with Phonological Knowledge. - Aditya Kamlesh Parikh; Cristian Tejedor García; Catia Cucchiarini; Helmer Strik (CoRR, 2025)

Improving Child Speech Recognition and Reading Mistake Detection by Using Prompts. - Lingyun Gao; Cristian Tejedor García; Catia Cucchiarini; Helmer Strik (CoRR, 2025)

Evaluating Logit-Based GOP Scores for Mispronunciation Detection. - Aditya Kamlesh Parikh; Cristian Tejedor García; Catia Cucchiarini; Helmer Strik (CoRR, 2025)

RECA-PD: A Robust Explainable Cross-Attention Method for Speech-based Parkinson's Disease Classification. - Terry Yi Zhong; Cristian Tejedor García; Martha A. Larson; Bastiaan R. Bloem (CoRR, 2025)