Automatic Quality Control in Speech Data Collection with Application to Remote Pathological Voice Analysis

Research output

Research output per year 2018 2018 2019 2021 2021

• 3 Article in proceeding
• 3 Journal article

Research output per year

Research output per year

Search results

• 2021

  A CNN-Based Approach to Identification of Degradations in Speech Signals

  Saishu, Y., Poorjam, A. H. & Christensen, M. G., 5 Feb 2021, In: Eurasip Journal on Audio, Speech, and Music Processing. 2021, 1, p. 1-10 10 p., 9.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File

  • Logopedics 100%
  • Degradation 88%
  • Speech 55%
  • Speech Signal 55%
  • Procedures 44%
  2 Citations (Scopus)

  69 Downloads (Pure)

• Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection

  Poorjam, A. H., Kavalekalam, M. S., Shi, L., Raykov, J. P., Jensen, J. R., Little, M. A. & Christensen, M. G., 2021, In: Speech Communication. 127, p. 1-16 16 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  File

  • Parkinson's Disease 100%
  • Degradation 85%
  • Quality 57%
  • Detection System 42%
  • Performance 28%
  10 Citations (Scopus)

  63 Downloads (Pure)
• 2019

  Quality Control in Remote Speech Data Collection

  Alavijeh, A. H. P., Little, M. A., Jensen, J. R. & Christensen, M. G., Mar 2019, In: IEEE Journal of Selected Topics in Signal Processing. 13, 2, p. 236-243 8 p., 8664108.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File

  • Outlier 100%
  • Speech 71%
  • Covariance 57%
  • Quality 42%
  • Algorithms 28%
  2 Citations (Scopus)

  281 Downloads (Pure)

• Quality Control of Voice Recordings in Remote Parkinson's Disease Monitoring using the Infinite Hidden Markov Model

  Alavijeh, A. H. P., Raykov, Y. P., Badawy, R., Jensen, J. R., Christensen, M. G. & Little, M. A., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. IEEE, p. 805-809 5 p. 8682523. (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  Open Access

  File

  • Hidden Markov Models 100%
  • Hidden Markov Model 50%
  • Parkinson's Disease 33%
  • Accuracy 33%
  • Identifying 33%
  9 Citations (Scopus)

  255 Downloads (Pure)
• 2018

  A Parametric Approach for Classification of Distortions in Pathological Voices

  Poorjam, A. H., Little, M. A., Jensen, J. R. & Christensen, M. G., 10 Sep 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 286-290 5 p. 8461316. (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  Open Access

  File

  • Distortion 100%
  • Classification 28%
  • Linear Discriminant Analysis 28%
  • Acoustic Feature 28%
  • Channels 28%
  8 Citations (Scopus)

  199 Downloads (Pure)

• A Supervised Approach to Global Signal-to-Noise Ratio Estimation for Whispered and Pathological Voices

  Poorjam, A. H., Little, M. A., Jensen, J. R. & Christensen, M. G., 10 Sep 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 296-300 5 p. 8462459. (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  Open Access

  File

  • Estimation 100%
  • Speech 100%
  • Signal-to-Noise Ratio 80%
  • Frequencies 60%
  • Cepstral Coefficient 60%
  8 Citations (Scopus)

  202 Downloads (Pure)