Suchergebnisse
UB Katalog
Artikel & mehr
Suchmaske
Suchergebnisse einschränken oder erweitern
Aktive Suchfilter
Weniger Treffer
Gefunden in
Art der Quelle
Schlagwort
- deep learning 14 Treffer
- deep belief network 11 Treffer
- computer science 8 Treffer
- computer vision and pattern recognition 8 Treffer
- human-computer interaction 8 Treffer
-
45 weitere Werte:
- language and linguistics 8 Treffer
- linguistics and language 8 Treffer
- software 8 Treffer
- mfcc 7 Treffer
- artificial intelligence 6 Treffer
- business 6 Treffer
- business.industry 6 Treffer
- neuronales netzwerk 6 Treffer
- speaker recognition 6 Treffer
- artificial neural network 4 Treffer
- automatic speech recognition 4 Treffer
- convolutional neural network 4 Treffer
- deep neural network 4 Treffer
- particle swarm optimization 4 Treffer
- phoneme recognition 4 Treffer
- speech recognition 4 Treffer
- spracherkennung 4 Treffer
- sprachsignal 4 Treffer
- 03 medical and health sciences 3 Treffer
- 0305 other medical science 3 Treffer
- 030507 speech-language pathology & audiology 3 Treffer
- artificial neural networks 3 Treffer
- boltzmann machine 3 Treffer
- classification 3 Treffer
- dbn 3 Treffer
- deep belief networks 3 Treffer
- discrete wavelet transform 3 Treffer
- emotion 3 Treffer
- grnn 3 Treffer
- hybrid model 3 Treffer
- mfccs 3 Treffer
- mischmodell 3 Treffer
- pattern recognition 3 Treffer
- phoneme classification 3 Treffer
- restricted boltzmann machine 3 Treffer
- speaker-independent 3 Treffer
- support vector machine 3 Treffer
- svms 3 Treffer
- akustik 2 Treffer
- artificial intelligence (incl. robotics) 2 Treffer
- audio steganography 2 Treffer
- clustering 2 Treffer
- computer 2 Treffer
- computer.software_genre 2 Treffer
- convolutional neural networks 2 Treffer
Verlag
Sprache
18 Treffer
-
In: International Journal of Speech Technology, Jg. 22 (2019-03-01), Heft 1, S. 143-156Online academicJournalZugriff:
-
In: International Journal of Speech Technology, Jg. 22 (2019-01-10), S. 143-156Online unknownZugriff:
-
In: International Journal of Speech Technology, Jg. 23 (2020-09-01), Heft 3, S. 597-613Online academicJournalZugriff:
-
In: International Journal of Speech Technology, Jg. 23 (2020-03-01), Heft 1, S. 123-131Online academicJournalZugriff:
-
In: International Journal of Speech Technology, Jg. 19 (2016-09-01), Heft 3, S. 585-591Online academicJournalZugriff:
-
In: International Journal of Speech Technology, Jg. 23 (2020-12-01), Heft 4, S. 893-905Online academicJournalZugriff:
-
In: International Journal of Speech Technology, Jg. 22 (2019-06-01), Heft 2, S. 449-457Online academicJournalZugriff:
-
In: International Journal of Speech Technology, 2021-10-18, S. 1-10Online academicJournalZugriff:
-
In: International Journal of Speech Technology, Jg. 24 (2021-06-01), Heft 2, S. 389-400Online academicJournalZugriff:
-
In: International Journal of Speech Technology, Jg. 19 (2016-12-01), Heft 4, S. 779-790Online academicJournalZugriff:
-
In: International Journal of Speech Technology, Jg. 23 (2020-06-01), Heft 2, S. 305-313Online academicJournalZugriff:
-
In: International Journal of Speech Technology, Jg. 23 (2020-11-06), S. 893-905Online unknownZugriff:
-
In: International Journal of Speech Technology, 2021-10-18Online unknownZugriff:
-
In: International Journal of Speech Technology, Jg. 23 (2020-03-09), S. 597-613Online unknownZugriff:
-
In: International Journal of Speech Technology, Jg. 22 (2019-05-03), S. 449-457Online unknownZugriff:
-
In: International Journal of Speech Technology, Jg. 19 (2016-07-21), S. 585-591Online unknownZugriff:
-
In: International Journal of Speech Technology, Jg. 24 (2021-01-22), S. 389-400Online unknownZugriff:
-
A comprehensive novel model for network speech anomaly detection system using deep learning approachIn: International Journal of Speech Technology, Jg. 23 (2020-03-05), S. 305-313Online unknownZugriff: