A curated list of resources for Speech Pathologies Analysis. This repository aims to gather datasets, research papers, tools, and more that are valuable for researchers and practitioners in the field of speech pathology analysis.
Contributions are welcome! If you have any suggestions for additions, please feel free to reach out by emailing the workshop chairs at spadewksp@gmail.com.
Hasegawa-Johnson, M., et al. (2024). Community-supported shared infrastructure in support of speech accessibility. Journal of Speech, Language, and Hearing Research, 67(11), 4162-4175. ๐ Speech Accessibility Project
2023
Rusko, M., et al. (2023). EWA-DB, Slovak database of speech affected by neurodegenerative diseases. medRxiv. ๐ Dataset | ๐ Paper
2021
Luz, S., et al. (2021). Detecting Cognitive Decline Using Speech Only: The ADReSSo Challenge. In Interspeech 2021 (pp. 3780-3784). ๐ Challenge | ๐ Paper
2017
Jesus, L. M., et al. (2017). The advanced voice function assessment databases (AVFAD): Tools for voice clinicians and speech research. In Advances in speech-language pathology. IntechOpen.๐ Paper
2014
Orozco-Arroyave, J. R., et al. (2014). New Spanish speech corpus database for the analysis of people suffering from Parkinson's disease. In LREC (pp. 342-347). ๐ Paper
2013
Tuฤkovรก, J., et al. (2013). Speech databases of typical children and children with SLI. LINDAT/CLARIAH-CZ digital library. ๐ Dataset
2007
Woldert-Jokisz, B. (2007). Saarbruecken voice database. ๐ Dataset
Research Papers ๐
2025
1st SPADE Workshop (ICASSP 2025) Papers
Chen, Y., et al. (2025). Speech-based Clinical Depression Detection: An Empirical Study. In ICASSPW 2025. ๐ Paper
Pandey, P. V. K., et al. (2025). Parkinson's Disease Detection Using Wavelet Packet Absolute Amplitude Deviation (WPAAD) from voice signals. In ICASSPW 2025. ๐ Paper
Wang, Y., et al. (2025). Enhancing and Exploring Mild Cognitive Impairment Detection with W2V-BERT-2.0. In ICASSPW 2025. ๐ Paper
Premananth, G., & Espy-Wilson, C. (2025). Speech-Based Estimation of Schizophrenia Severity Using Feature Fusion. In ICASSPW 2025. ๐ Paper
Mancini, E., et al. (2025). Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech. In ICASSPW 2025. ๐ Paper
Maji, B., et al. (2025). Prosody Disentanglement with Self-Supervised Speech Representation for Detecting Depression. In ICASSPW 2025. ๐ Paper
Reszka, J., et al. (2025). Investigating the Effects of Diffusion-based Conditional Generative Speech Models Used for Speech Enhancement on Dysarthric Speech. In ICASSPW 2025. ๐ Paper
Ruvolo, B., et al. (2025). Exploring the Complexity of Parkinson's Patient Speech for Depression Detection task: A Qualitative Analysis. In ICASSPW 2025. ๐ Paper
El Hajal, K., et al. (2025). Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR. In ICASSPW 2025. ๐ Paper
Other 2025 Papers
Koudounas, A., et al. (2025). MVP: Multi-source Voice Pathology detection. In Interspeech 2025. ๐ Paper
La Quatra, M., et al. (2025). Exploring Generative Error Correction for Dysarthric Speech Recognition. In Interspeech 2025. ๐ Paper
Liu, Q., et al., (2025). Multimodal Fusion Techniques to Enhance Voice Disorder Diagnoses. In EDBT/ICDT DARLI-AP Workshop 2025.๐ Paper
2024
La Quatra, M., et al. (2024). Exploiting Foundation Models and Speech Enhancement for Parkinson's Disease Detection from Speech in Real-World Operative Conditions. In Interspeech 2024. ๐ Paper | ๐ป Code
Koudounas, A., et al. (2024). Voice Disorder Analysis: a Transformer-based Approach. In Interspeech 2024. ๐ Paper
La Quatra, M., et al. (2024). Benchmarking Representations for Speech, Music, and Acoustic Events. In ICASSP Workshops 2024. ๐ Paper | ๐ป Code
Miller, G. F., et al. (2024). Representation Learning Strategies to Model Pathological Speech: Effect of Multiple Spectral Resolutions. Computer Speech & Language, 85, 101584. ๐ Paper
Chen, X., et al. (2024). Exploiting Audio-Visual Features with Pretrained AV-HuBERT for Multi-Modal Dysarthric Speech Reconstruction. In ICASSP 2024 (pp. 12341โ12345). ๐ Paper
2023
Tomanek, K., et al. (2023). An Analysis of Degenerating Speech Due to Progressive Dysarthria on ASR Performance. In ICASSP 2023 (pp. 1โ5). ๐ Paper
Joshy, A. A., et al. (2023). Statistical Analysis of Speech Disorder Specific Features to Characterise Dysarthria Severity Level. In ICASSP 2023 (pp. 1โ5). ๐ Paper
Almadhor, A., et al. (2023). E2E-DASR: End-to-end deep learning-based dysarthric automatic speech recognition. In Expert Systems with Applications 222 (2023): 119797. ๐ Paper
Ribas, D., et al. (2023). Automatic voice disorder detection using self-supervised representations. In Ieee Access 11 (2023): 14915-14927. ๐ Paper
2022
Zezario, R. E., et al. (2022). Deep learning-based non-intrusive multi-objective speech assessment model with cross-domain features. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31, 54โ70. ๐ Paper
Wang, S. S., et al. (2022). Continuous Speech for Improved Learning Pathological Voice Disorders. IEEE Open Journal of Engineering in Medicine and Biology, 3, 25โ33. ๐ Paper
2020
Chen-Yu, C., et al. (2020). Enhancing Intelligibility of Dysarthric Speech Using Gated Convolutional-Based Voice Conversion System. In Interspeech 2020 (pp. 4686-4690). ๐ Paper
Tools & Frameworks ๐ง
Librosa - Python package for music and audio analysis
ParselMouth - Python interface to Praat for speech analysis
Praat - Software tool for speech analysis in phonetics
We welcome contributions from the community! If you know of any valuable datasets, tools, papers, or other resources related to Speech Pathologies Analysis, please feel free to contribute by:
Opening a pull request with your suggested addition
Hasegawa-Johnson, M., et al. (2024). Community-supported shared infrastructure in support of speech accessibility. Journal of Speech, Language, and Hearing Research, 67(11), 4162-4175. ๐ Speech Accessibility Project
Chen, Y., et al. (2025). Speech-based Clinical Depression Detection: An Empirical Study. In ICASSPW 2025. ๐ Paper
Koudounas, A., et al. (2025). MVP: Multi-source Voice Pathology detection. In Interspeech 2025. ๐ Paper
Librosa - Python package for music and audio analysis
ADReSSo Challenge - Detecting cognitive decline using spontaneous speech
