Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[PDF][PDF] Speech recognition systems: A comparative review
Creating voice control for robots is very important and difficult task. Therefore, we consider
different systems of speech recognition. We divided them into two main classes:(1) open …
different systems of speech recognition. We divided them into two main classes:(1) open …
Whispered speech recognition using deep denoising autoencoder and inverse filtering
ĐT Grozdić, ST Jovičić - IEEE/ACM Transactions on Audio …, 2017 - ieeexplore.ieee.org
Due to the profound differences between acoustic characteristics of neutral and whispered
speech, the performance of traditional automatic speech recognition (ASR) systems trained …
speech, the performance of traditional automatic speech recognition (ASR) systems trained …
Whispered speech recognition using deep denoising autoencoder
Abstract Recently Deep Denoising Autoencoders (DDAE) have shown state-of-the-art
performance on various machine learning tasks. In this paper, the authors extended this …
performance on various machine learning tasks. In this paper, the authors extended this …
[HTML][HTML] Whispered Speech Recognition Based on Audio Data Augmentation and Inverse Filtering
Modern Automatic Speech Recognition (ASR) systems are primarily designed to recognize
normal speech. Due to a considerable acoustic mismatch between normal speech and …
normal speech. Due to a considerable acoustic mismatch between normal speech and …
[PDF][PDF] Exploring the Impact of Data Augmentation Techniques on Automatic Speech Recognition System Development: A Comparative Study.
Automatic Speech Recognition (ASR) systems are notorious for their poor performance in
adverse conditions, leading to high sensitivity and low robustness. Due to the costly and …
adverse conditions, leading to high sensitivity and low robustness. Due to the costly and …
[PDF][PDF] Application of teager energy operator on linear and mel scales for whispered speech recognition
This paper presents experimental results on whispered speech recognition based on
Teager Energy Operator for linear and mel cepstral coefficients including the Cepstral Mean …
Teager Energy Operator for linear and mel cepstral coefficients including the Cepstral Mean …
Leveraging Self-Supervised Models for Automatic Whispered Speech Recognition
A Farhadipour, H Asadi, V Dellwo - ar**
Due to the lack of sufficient amount of whisper data for training, whispered speech
recognition is a serious challenge for state-of-the-art Automatic Speech Recognition (ASR) …
recognition is a serious challenge for state-of-the-art Automatic Speech Recognition (ASR) …