A hybrid feature-extracted deep CNN with reduced parameters substitutes an End-to-End CNN for the recognition of spoken Bengali digits
B Paul, S Phadikar - Multimedia Tools and Applications, 2024 - Springer
Speech Recognition (SR) is an emerging field in the native language nowadays.
Recognizing isolated words in the local language helps people use smartphones and …
Recognizing isolated words in the local language helps people use smartphones and …
Speech recognition and separation system using deep learning
MS Chauhan, R Mishra, MI Patel - … International Conference on …, 2021 - ieeexplore.ieee.org
Human voice is considered one of the most important features and speech helps humans to
communicate with each other. Analysis of speech features is carried out to recognize and …
communicate with each other. Analysis of speech features is carried out to recognize and …
Designing a dynamic system to control building components and computers with voice commands for disabled individuals
Nowadays, with the development of technology, there have been many innovations in
human life. Technology has made many things easier in human life depending on these …
human life. Technology has made many things easier in human life depending on these …
ECAPA-Based Speaker Verification of Virtual Assistants: A Transfer Learning Approach
Speaker Verification technology is crucial in identifying individuals through their unique
voice characteristics. However, the increasing use of speech assistants has posed new …
voice characteristics. However, the increasing use of speech assistants has posed new …
Identifikasi Fitur Suara Menggunakan Model Convolutional Neural Network (CNN) pada Speech-to-Text (STT)
DT Susetianingtias, E Patriya - Decode: Jurnal …, 2024 - journal.umkendari.ac.id
Identifikasi pola ucapan dilakukan untuk dapat mengenali kata yang diucapkan. Salah satu
metode yang dapat digunakan untuk mengidentifikasi Speech-to-Text (STT) adalah dengan …
metode yang dapat digunakan untuk mengidentifikasi Speech-to-Text (STT) adalah dengan …
Design of electrical wheelchair navigation for disabled patient using convolutional neural networks on Raspberry Pi 3
Patients with physical disabilities such as losing an arm, hand, or paralysis will have
difficulty moving from one place to another. They need someone or a device that can help …
difficulty moving from one place to another. They need someone or a device that can help …
[PDF][PDF] Image and Signal Processing of Mel-Spectrograms in Isolated Speech Recognition
A Bankar, A Gandhi, D Baviskar - International Journal of Computer … - academia.edu
One of the fundamental modes of communication is speech. In the past decade, many
advances in the field of speech recognition system have been recorded. The conversion of …
advances in the field of speech recognition system have been recorded. The conversion of …
Arabic speech recognition using phase parameter
In this paper, the main idea is to investigate the ability of the information presented in the
speech signal phase in contributing in the speech recognition system. The database that we …
speech signal phase in contributing in the speech recognition system. The database that we …
[PDF][PDF] Keyword Detection using Auto Associative Neural Network with Reference to Assamese
D Kalita, KA Borbora - academia.edu
Speech and speaker recognition has yet not achieved the state-of-the-art position. Keyword
detection in audio clips is gaining importance as it contributes to the audio recognition and …
detection in audio clips is gaining importance as it contributes to the audio recognition and …
Primjena statističkog učenja na proširenu semi-empirijsku formulu mase
M Bezak - 2019 - zir.nsk.hr
Sažetak U nuklearnoj fizici već više od osamdeset godina u primjeni je Bethe–Weizsäcker
formula mase (BW). BW formula sadrži osnovne elemente koji su dovoljni za kvantitativan …
formula mase (BW). BW formula sadrži osnovne elemente koji su dovoljni za kvantitativan …