Taniya Hasija - Academia.edu (original) (raw)
Papers by Taniya Hasija
2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)
Encryption is the primary way for ensuring communication security. The symmetric key method, ofte... more Encryption is the primary way for ensuring communication security. The symmetric key method, often known as Advanced Encryption Standard (AES), is a well-known technique in the field of security. AES can be implemented in either software or hardware. In the current study, Field Programmable Gate Arrays (FPGAs) are utilized to implement AES. Number of studies have been done on experiments of AES using FPGAs. Till date, no study has been done on the architectures that are being utilized to implement AES on FPGA. This paper provides an in-depth examination of several hardware implementation of AES on FPGA in terms of through put and performance. This survey article enables the engineers to choose the best architecture of FPGAs to implement AES algorithm in terms of design as per the requirement. The surveyed architectures are sequential, pipelined, iterative, and parallel. Parallel architectures with pipelining between rounds have shown an excellent throughput. Certain improved S-box and key expansion approaches have also been employed by the researchers to reduce the hardware areas.
Multimedia Tools and Applications
2022 7th International Conference on Communication and Electronics Systems (ICCES)
Sustainability
Speech recognition has been an active field of research in the last few decades since it facilita... more Speech recognition has been an active field of research in the last few decades since it facilitates better human–computer interaction. Native language automatic speech recognition (ASR) systems are still underdeveloped. Punjabi ASR systems are in their infancy stage because most research has been conducted only on adult speech systems; however, less work has been performed on Punjabi children’s ASR systems. This research aimed to build a prosodic feature-based automatic children speech recognition system using discriminative modeling techniques. The corpus of Punjabi children’s speech has various runtime challenges, such as acoustic variations with varying speakers’ ages. Efforts were made to implement out-domain data augmentation to overcome such issues using Tacotron-based text to a speech synthesizer. The prosodic features were extracted from Punjabi children’s speech corpus, then particular prosodic features were coupled with Mel Frequency Cepstral Coefficient (MFCC) features b...
Sustainability
Speech recognition has been an active field of research in the last few decades since it facilita... more Speech recognition has been an active field of research in the last few decades since it facilitates better human–computer interaction. Native language automatic speech recognition (ASR) systems are still underdeveloped. Punjabi ASR systems are in their infancy stage because most research has been conducted only on adult speech systems; however, less work has been performed on Punjabi children’s ASR systems. This research aimed to build a prosodic feature-based automatic children speech recognition system using discriminative modeling techniques. The corpus of Punjabi children’s speech has various runtime challenges, such as acoustic variations with varying speakers’ ages. Efforts were made to implement out-domain data augmentation to overcome such issues using Tacotron-based text to a speech synthesizer. The prosodic features were extracted from Punjabi children’s speech corpus, then particular prosodic features were coupled with Mel Frequency Cepstral Coefficient (MFCC) features b...
Tonal Languages Automatic Speech recognition (ASR) systems are an area of interest for researcher... more Tonal Languages Automatic Speech recognition (ASR) systems are an area of interest for researchers as it is a challenging research domain. However, the main objective is to get an ASR system that has high performance whether the language used is tonal or non-tonal. But tonal languages always have degraded results as compared to non-tonal languages. Punjabi is a tonal language and tonality has led to many challenges in the designing of the Punjabi ASR system. It is an important research area to develop a Punjabi ASR system that is able to tackle the tonality of the language. In this paper, tonal and non-tonal classification is done to extract the prosodic features, which in turn enhance the word recognition rate for tonal languages. A prosodic feature has pitch related features, which can effectively understand the tone of the word and has high accuracy in recognition of words. Extracted prosodic features are fed to the ASR system individually and then later in combinations.. Results...
Journal of Physics: Conference Series
The performance of Automatic Speech Recognition (ASR) is directly proportional to the quality of ... more The performance of Automatic Speech Recognition (ASR) is directly proportional to the quality of the corpus used and the training data quantity. Data scarcity and more children’s speech variability degrades the performance of ASR systems. As Punjabi is a tonal language and low resource language, less data is available for Punjabi children’s speech. It leads to poor ASR performance for Punjabi children speech recognition. To overcome limited data conditions, in this paper, two corpora of different domains are evaluated for testing the feasibility of ASR performance. We have implemented Tacotron as an artificial speech synthesis system for Punjabi Language. The speech audios synthesized by Tacotron are merged with available speech corpus and tested on Punjabi children ASR using Mel Frequency Cepstral Coefficients (MFCC) + pitch feature extraction, and Deep Neural Network (DNN) acoustic modeling. It is noticed that the merged data corpus has shown reduced Word Error Rate (WER) of the ASR system with a Relative Improvement (RI) of 9-12%.
Journal of Ambient Intelligence and Humanized Computing
2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)
Encryption is the primary way for ensuring communication security. The symmetric key method, ofte... more Encryption is the primary way for ensuring communication security. The symmetric key method, often known as Advanced Encryption Standard (AES), is a well-known technique in the field of security. AES can be implemented in either software or hardware. In the current study, Field Programmable Gate Arrays (FPGAs) are utilized to implement AES. Number of studies have been done on experiments of AES using FPGAs. Till date, no study has been done on the architectures that are being utilized to implement AES on FPGA. This paper provides an in-depth examination of several hardware implementation of AES on FPGA in terms of through put and performance. This survey article enables the engineers to choose the best architecture of FPGAs to implement AES algorithm in terms of design as per the requirement. The surveyed architectures are sequential, pipelined, iterative, and parallel. Parallel architectures with pipelining between rounds have shown an excellent throughput. Certain improved S-box and key expansion approaches have also been employed by the researchers to reduce the hardware areas.
Multimedia Tools and Applications
2022 7th International Conference on Communication and Electronics Systems (ICCES)
Sustainability
Speech recognition has been an active field of research in the last few decades since it facilita... more Speech recognition has been an active field of research in the last few decades since it facilitates better human–computer interaction. Native language automatic speech recognition (ASR) systems are still underdeveloped. Punjabi ASR systems are in their infancy stage because most research has been conducted only on adult speech systems; however, less work has been performed on Punjabi children’s ASR systems. This research aimed to build a prosodic feature-based automatic children speech recognition system using discriminative modeling techniques. The corpus of Punjabi children’s speech has various runtime challenges, such as acoustic variations with varying speakers’ ages. Efforts were made to implement out-domain data augmentation to overcome such issues using Tacotron-based text to a speech synthesizer. The prosodic features were extracted from Punjabi children’s speech corpus, then particular prosodic features were coupled with Mel Frequency Cepstral Coefficient (MFCC) features b...
Sustainability
Speech recognition has been an active field of research in the last few decades since it facilita... more Speech recognition has been an active field of research in the last few decades since it facilitates better human–computer interaction. Native language automatic speech recognition (ASR) systems are still underdeveloped. Punjabi ASR systems are in their infancy stage because most research has been conducted only on adult speech systems; however, less work has been performed on Punjabi children’s ASR systems. This research aimed to build a prosodic feature-based automatic children speech recognition system using discriminative modeling techniques. The corpus of Punjabi children’s speech has various runtime challenges, such as acoustic variations with varying speakers’ ages. Efforts were made to implement out-domain data augmentation to overcome such issues using Tacotron-based text to a speech synthesizer. The prosodic features were extracted from Punjabi children’s speech corpus, then particular prosodic features were coupled with Mel Frequency Cepstral Coefficient (MFCC) features b...
Tonal Languages Automatic Speech recognition (ASR) systems are an area of interest for researcher... more Tonal Languages Automatic Speech recognition (ASR) systems are an area of interest for researchers as it is a challenging research domain. However, the main objective is to get an ASR system that has high performance whether the language used is tonal or non-tonal. But tonal languages always have degraded results as compared to non-tonal languages. Punjabi is a tonal language and tonality has led to many challenges in the designing of the Punjabi ASR system. It is an important research area to develop a Punjabi ASR system that is able to tackle the tonality of the language. In this paper, tonal and non-tonal classification is done to extract the prosodic features, which in turn enhance the word recognition rate for tonal languages. A prosodic feature has pitch related features, which can effectively understand the tone of the word and has high accuracy in recognition of words. Extracted prosodic features are fed to the ASR system individually and then later in combinations.. Results...
Journal of Physics: Conference Series
The performance of Automatic Speech Recognition (ASR) is directly proportional to the quality of ... more The performance of Automatic Speech Recognition (ASR) is directly proportional to the quality of the corpus used and the training data quantity. Data scarcity and more children’s speech variability degrades the performance of ASR systems. As Punjabi is a tonal language and low resource language, less data is available for Punjabi children’s speech. It leads to poor ASR performance for Punjabi children speech recognition. To overcome limited data conditions, in this paper, two corpora of different domains are evaluated for testing the feasibility of ASR performance. We have implemented Tacotron as an artificial speech synthesis system for Punjabi Language. The speech audios synthesized by Tacotron are merged with available speech corpus and tested on Punjabi children ASR using Mel Frequency Cepstral Coefficients (MFCC) + pitch feature extraction, and Deep Neural Network (DNN) acoustic modeling. It is noticed that the merged data corpus has shown reduced Word Error Rate (WER) of the ASR system with a Relative Improvement (RI) of 9-12%.
Journal of Ambient Intelligence and Humanized Computing