Validation of the Non-Intrusive Codebook-based Short Time Objective Intelligibility Metric for Processed Speech

Charlotte Sørensen, Jesper Boldt, Mads Græsbøll Christensen

Research output: Contribution to journalConference article in JournalResearchpeer-review

1 Citation (Scopus)
29 Downloads (Pure)


In recent years, objective measures of speech intelligibility have gained increasing interest. However, most speech intelligibil- ity metrics require a clean reference signal, which is often not available in real-life applications. In a recent publication, we proposed a method, the Non-Intrusive Codebook-based Short- Time Objective Intelligibility (NIC-STOI) metric, which allows using an intrusive method without requiring access to the clean signal. The statistics of the reference signal is estimated as a combination of predefined codebooks that best fit the degraded signal by modeling the speech and noisy spectra. In this pa- per, we perform additional validation of the NIC-STOI in more diverse noise condition as well as for speech processed non- linearly with binary masks, where it is shown to outperform existing non-intrusive metrics.
Original languageEnglish
JournalProceedings of the International Conference on Spoken Language Processing
Pages (from-to)4270-4274
Number of pages5
Publication statusPublished - 2019
EventInterspeech 2019 - Graz, Austria
Duration: 15 Sep 201919 Sep 2019


ConferenceInterspeech 2019


  • Codebooks
  • Hearing AIDS
  • Non-intrusive
  • STOI
  • Speech intelligibility prediction

Cite this