Search Results for author:
Found 10 papers, 5 papers with code
Challenges and Opportunities of Speech Recognition for Bengali Language
Speech recognition is a language-dependent system constructed directly based on the linguistic and textual properties of any language.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
End-to-End Optical Character Recognition for Bengali Handwritten Words
Further, we experiment with two different recurrent neural networks (RNN) methods, LSTM and GRU.
Optical Character Recognition
Optical Character Recognition (OCR)
U-vectors: Generating clusterable speaker embedding from unlabeled data
The robustness of a speaker recognition system mainly depends on the extraction process of speech embeddings, which are primarily pre-trained on a large-scale dataset.
FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets
The FabricNet can recognize a large scale of fibers by only utilizing a surface image of fabric.
An Evolution of CNN Object Classifiers on Low-Resolution Images
Deep neural networks have been demonstrated as very powerful systems for facing the challenge of object classification from high-resolution images, but deploying such object classification networks on the embedded device remains challenging due to the high computational and memory requirements.
BanglaWriting: A multi-purpose offline Bangla handwriting dataset
This article presents a Bangla handwriting dataset named BanglaWriting that contains single-page handwritings of 260 individuals of different personalities and ages.
A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network
The experimental results validate that the Xception and DenseNet architectures perform better in multi-label plant disease classification tasks.
A Lightweight Speaker Recognition System Using Timbre Properties
It also introduces new features that are used for both speaker verification and identification tasks.
Human Abnormality Detection Based on Bengali Text
To the best of our knowledge, this is the first attempt in developing a text based human abnormality detection system.
AutoEmbedder: A semi-supervised DNN embedding system for clustering
Deep clustering method downsamples high dimensional data, which may also relate clustering loss.
