- Tytuł:
- A robust ensemble model for spoken language recognition
- Autorzy:
-
Woods, Nancy
Babatunde, Gideon - Powiązania:
- https://bibliotekanauki.pl/articles/118275.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polskie Towarzystwo Promocji Wiedzy
- Tematy:
-
spoken language recognition
computer vision
image recognition
CNN
rozpoznawanie języka mówionego
widzenie komputerowe
rozpoznawanie obrazu - Opis:
- The identity of a language being spoken has been tackled over the years via statistical models on audio samples. A drawback of these approaches is the unavailability of phonetically transcribed data for all languages. This work proposes an approach based on image classification that utilized image representations of audio samples. Our model used Neural Networks and deep learning algorithms to analyse and classify three languages. The input to our network is a Spectrogram that was processed through the networks to extract local visual and temporal features for language prediction. From the model, we achieved 95.56 % accuracy on the test samples from the 3 languages.
- Źródło:
-
Applied Computer Science; 2020, 16, 3; 56-68
1895-3735 - Pojawia się w:
- Applied Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł