Digital Signal Processing for The Development of Deep Learning-Based Speech Recognition Technology
This research discusses digital signal processing in the context of developing deep learning-based speech recognition technology. Given the increasing demand for accurate and efficient speech recognition systems, digital signal processing techniques are essential. The research method used is an expe...
Saved in:
| Main Authors: | Dita Novita Sari, Danang Kusnadi, Ricco Herdiyan Saputra, Mujeeb Ullah Khan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Islam Negeri Raden Intan Lampung
2024-06-01
|
| Series: | International Journal of Electronics and Communications System |
| Subjects: | |
| Online Access: | https://ejournal.radenintan.ac.id/index.php/IJECS/article/view/22918 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Speech Emotion Recognition Based on Voice Fundamental Frequency
by: Teodora DIMITROVA-GREKOW, et al.
Published: (2019-04-01) -
Assessing costa rican children speech recognition by humans and machines
by: Maribel Morales-Rodríguez, et al.
Published: (2022-11-01) -
Neural signals, machine learning, and the future of inner speech recognition
by: Adiba Tabassum Chowdhury, et al.
Published: (2025-07-01) -
UrduSER: A comprehensive dataset for speech emotion recognition in Urdu languageMendeley Data
by: Muhammad Zaheer Akhtar, et al.
Published: (2025-06-01) -
Speech Recognition System Based on Machine Learning in Persian Language
by: Shahed Mohammadi, et al.
Published: (2022-06-01)