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Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based
  on BAVED Dataset

Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED Dataset

9 October 2021
Omar Mohamed
Salah A. Aly
ArXivPDFHTML

Papers citing "Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED Dataset"

3 / 3 papers shown
Title
Wav2vec-based Detection and Severity Level Classification of Dysarthria
  from Speech
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech
Farhad Javanmardi
Saska Tirronen
Manila Kodali
Sudarsana Reddy Kadiri
P. Alku
8
28
0
25 Sep 2023
Phoneme Segmentation Using Self-Supervised Speech Models
Phoneme Segmentation Using Self-Supervised Speech Models
Luke Strgar
David F. Harwath
SSL
22
10
0
02 Nov 2022
Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT
  Based on the Quran Reciters Dataset
Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset
Aly Moustafa
Salah A. Aly
18
1
0
11 Nov 2021
1