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

Charlotte Sørensen, Jesper Boldt, Mads Græsbøll Christensen

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

1 Citationer (Scopus)
28 Downloads (Pure)

Abstrakt

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.
OriginalsprogEngelsk
TidsskriftProceedings of the International Conference on Spoken Language Processing
Vol/bind2019-September
Sider (fra-til)4270-4274
Antal sider5
ISSN1990-9772
DOI
StatusUdgivet - 2019
BegivenhedInterspeech 2019 - Graz, Østrig
Varighed: 15 sep. 201919 sep. 2019

Konference

KonferenceInterspeech 2019
LandØstrig
ByGraz
Periode15/09/201919/09/2019

Citationsformater