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Bengali spoken digit classification: A deep learning approach using convolutional neural network
Bengali is a largely spoken language. Bengali speech recognition can have a significant
effect in many fields such as human-computer interaction, the internet of things, etc. A part of …
effect in many fields such as human-computer interaction, the internet of things, etc. A part of …
Swahili speech dataset development and improved pre-training method for spoken digit recognition
Speech dataset is an essential component in building commercial speech applications.
However, low-resource languages such as Swahili lack such a resource that is vital for …
However, low-resource languages such as Swahili lack such a resource that is vital for …
A novel Bangla spoken numerals recognition system using convolutional neural network
Automatic speech recognition (ASR) converts human speech into text or words that can be
understood and classified easily. Only digits from (0-9) were used in the few studies on …
understood and classified easily. Only digits from (0-9) were used in the few studies on …
Improved mini-batch multiple augmentation for low-resource spoken word recognition
Data augmentation techniques have been useful in dealing with limited data for machine
learning tasks. Recently, spectrogram data augmentation techniques have been …
learning tasks. Recently, spectrogram data augmentation techniques have been …
Comparison of acoustical models of GMM-HMM based for speech recognition in Hindi using PocketSphinx
Automatic Speech recognition (ASR) is widely gaining momentum worldwide, to be used as
a part of Human Computer Interface and also in a wide variety of commercial applications. In …
a part of Human Computer Interface and also in a wide variety of commercial applications. In …
Voiced odia digit recognition using convolutional neural network
Speech recognition in a native language like Odia is a challenging job, particularly for
handling tasks in real-life conditions. Voiced Odia digit classification is a part of Odia speech …
handling tasks in real-life conditions. Voiced Odia digit classification is a part of Odia speech …
Recognition and Spectral Analysis of Adi Digits
This article presents a method for automatically recognizing spoken digits in the Adi
language using the highly effective open-source voice recognition toolkit,“Kaldi”. The study …
language using the highly effective open-source voice recognition toolkit,“Kaldi”. The study …
Isolated Odia digit recognition using HTK: an implementation view
This paper outlines the frame work for an isolated Odia digit recognition. The HTK toolkit
which consider the Hidden Markov Model (HMM), as the base for develo** the system …
which consider the Hidden Markov Model (HMM), as the base for develo** the system …
Application of deep learning approach for recognition of voiced Odia digits
Automatic speech recognition in a regional language like Odia is a challenging field of
research. Voiced Odia digit recognition helps in designing automatic voice dialler systems …
research. Voiced Odia digit recognition helps in designing automatic voice dialler systems …
Harnessing Data Mining for Improved Hindi Isolated Speech Recognition
Speech is the primary medium for the exchange and transfer of messages, making
recognition of speech an extensive area of study. The phonic and linguistic outline is …
recognition of speech an extensive area of study. The phonic and linguistic outline is …