Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308992542> ?p ?o ?g. }
- W4308992542 abstract "Speaker diarization is a function that recognizes “who was speaking at the phase” by organizing video and audio recordings with sets that correspond to the presenter's personality. Speaker diarization approaches for multi-speaker audio recordings in the domain of speech recognition were developed in the first few years to allow speaker adaptive technology. For a long time, the self-contained use of these technologies grew in relevance as a means of facilitating meta-information for downstream speaker-specific difficulties, such as audio retrieval. Speaker diarization has made rapid progress in recent years, thanks to the advent of deep learning technology, which has led to ground-breaking shifts in research and practices in the field of speech implementation. The goal of this work is to provide an in- depth review of the studies published in the last 20 years. In the proposed paper, a total of 85 studies have been selected. In this paper, we tried to highlight recent improvements in speaker diarization and challenges to help the researchers who are working in this field." @default.
- W4308992542 created "2022-11-20" @default.
- W4308992542 creator A5024074662 @default.
- W4308992542 creator A5055733180 @default.
- W4308992542 creator A5068044579 @default.
- W4308992542 date "2022-10-20" @default.
- W4308992542 modified "2023-09-27" @default.
- W4308992542 title "Speaker Diarization based on Deep Learning Techniques: A Review" @default.
- W4308992542 cites W106647055 @default.
- W4308992542 cites W1494198834 @default.
- W4308992542 cites W1524832141 @default.
- W4308992542 cites W1591607137 @default.
- W4308992542 cites W1597109047 @default.
- W4308992542 cites W1603689368 @default.
- W4308992542 cites W163811496 @default.
- W4308992542 cites W1876378865 @default.
- W4308992542 cites W1904457459 @default.
- W4308992542 cites W1965819578 @default.
- W4308992542 cites W2010114458 @default.
- W4308992542 cites W2014399678 @default.
- W4308992542 cites W2038101708 @default.
- W4308992542 cites W2046056978 @default.
- W4308992542 cites W2052269122 @default.
- W4308992542 cites W2081074144 @default.
- W4308992542 cites W2093499222 @default.
- W4308992542 cites W2097583714 @default.
- W4308992542 cites W2098726438 @default.
- W4308992542 cites W2102453655 @default.
- W4308992542 cites W2114925438 @default.
- W4308992542 cites W2115483887 @default.
- W4308992542 cites W2115599677 @default.
- W4308992542 cites W2125336414 @default.
- W4308992542 cites W2125642021 @default.
- W4308992542 cites W2132056833 @default.
- W4308992542 cites W2134533334 @default.
- W4308992542 cites W2136752740 @default.
- W4308992542 cites W21371201 @default.
- W4308992542 cites W2140537255 @default.
- W4308992542 cites W2143693287 @default.
- W4308992542 cites W2144125830 @default.
- W4308992542 cites W2144276742 @default.
- W4308992542 cites W2148613904 @default.
- W4308992542 cites W2150769028 @default.
- W4308992542 cites W2151299225 @default.
- W4308992542 cites W2156255174 @default.
- W4308992542 cites W2159591770 @default.
- W4308992542 cites W2168025753 @default.
- W4308992542 cites W2169264834 @default.
- W4308992542 cites W2194775991 @default.
- W4308992542 cites W2283724112 @default.
- W4308992542 cites W2288645994 @default.
- W4308992542 cites W2289985966 @default.
- W4308992542 cites W2400584454 @default.
- W4308992542 cites W2405439032 @default.
- W4308992542 cites W2405970501 @default.
- W4308992542 cites W2518112949 @default.
- W4308992542 cites W2605266158 @default.
- W4308992542 cites W2606308239 @default.
- W4308992542 cites W2622203030 @default.
- W4308992542 cites W2673722796 @default.
- W4308992542 cites W2746574320 @default.
- W4308992542 cites W2748488820 @default.
- W4308992542 cites W2749214709 @default.
- W4308992542 cites W2752234714 @default.
- W4308992542 cites W2802521478 @default.
- W4308992542 cites W2884643232 @default.
- W4308992542 cites W2884797218 @default.
- W4308992542 cites W2889418727 @default.
- W4308992542 cites W2889503488 @default.
- W4308992542 cites W2889956729 @default.
- W4308992542 cites W2890825077 @default.
- W4308992542 cites W2890964092 @default.
- W4308992542 cites W2896538040 @default.
- W4308992542 cites W2902864383 @default.
- W4308992542 cites W2913959203 @default.
- W4308992542 cites W2915347754 @default.
- W4308992542 cites W2915548730 @default.
- W4308992542 cites W2952752702 @default.
- W4308992542 cites W2963150697 @default.
- W4308992542 cites W2963266252 @default.
- W4308992542 cites W2963470929 @default.
- W4308992542 cites W2963483402 @default.
- W4308992542 cites W2963590452 @default.
- W4308992542 cites W2964391865 @default.
- W4308992542 cites W2972449503 @default.
- W4308992542 cites W2972492143 @default.
- W4308992542 cites W2972756562 @default.
- W4308992542 cites W2972949456 @default.
- W4308992542 cites W2973127116 @default.
- W4308992542 cites W3006898571 @default.
- W4308992542 cites W3007946293 @default.
- W4308992542 cites W3008283340 @default.
- W4308992542 cites W3008357631 @default.
- W4308992542 cites W3008849579 @default.
- W4308992542 cites W3011982558 @default.
- W4308992542 cites W3015780472 @default.
- W4308992542 cites W3016232124 @default.
- W4308992542 cites W3038871978 @default.
- W4308992542 cites W3094831814 @default.
- W4308992542 cites W3094892544 @default.