Speech Recognition Using Deep Neural Networks: A Systematic Review
Over the past decades, a tremendous amount of research has been done on the use of machine learning for speech processing applications, especially speech recognition. However, in the past few years, research has focused on utilizing deep learning for speech-related applications. This new area of mac...
محفوظ في:
| المؤلف الرئيسي: | BOU NASSIF, ALI (author) |
|---|---|
| مؤلفون آخرون: | SHAHIN, ISMAIL (author), ATTILI, IMTINAN (author), AZZEH, MOHAMMAD (author), SHAALAN, KHALED (author) |
| منشور في: |
2019
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://bspace.buid.ac.ae/handle/1234/3035 https://doi.org/10.1109/ACCESS.2019.2896880. |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models
حسب: EZZELDIN, KHALED MOHAMED KHALED
منشور في: (2024) -
Arabic Dialect Speech-Text Recognition Using Deep Learning
حسب: RAEIALBOOM, OMAR SALEH DARWISH
منشور في: (2024) -
Research Paper in Speech Recognition Technology
حسب: Harbi, Ayla Zaid Mohammed
منشور في: (2014) -
A systematic review on sequence-to-sequence learning with neural network and its models
حسب: Yousuf, Hana
منشور في: (2021) -
Arabic Speech Sentiment Analysis Using Machine Learning: A Case Study of COP28
حسب: ALMUALLA, SHEIKH ABDULAZIZ
منشور في: (2024)