Harmonic Beamformers for Non-Intrusive Speech Intelligibility Prediction

Charlotte Sørensen, Jesper Boldt, Mads Græsbøll Christensen

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Abstrakt

In recent years, research into objective speech intelligibil- ity measures has gained increased interest as a tool to opti- mize speech enhancement algorithms. While most intelligi- bility measures are intrusive, i.e., they require a clean refer- ence signal, this is rarely available in real-time applications. This paper proposes two non-intrusive intelligibility measures, which allow using the intrusive short-time objective intelligibil- ity (STOI) measure without requiring access to the clean signal. Instead, a reference signal is obtained from the degraded sig- nal using either a fixed or an adaptive harmonic spatial filter. This reference signal is then used as input to STOI. The exper- imental results show a high correlation between both proposed non-intrusive speech intelligibility measures and the original in- trusively computed STOI scores.
OriginalsprogEngelsk
TidsskriftProceedings of the International Conference on Spoken Language Processing
Vol/bind2019-September
Sider (fra-til)4260-4264
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

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