ASRoIL: a comprehensive survey for automatic speech recognition of Indian languages
India is the land of language diversity with 22 major languages having more than 720
dialects, written in 13 different scripts. Out of 22, Hindi, Bengali, Punjabi is ranked 3rd, 7th …
dialects, written in 13 different scripts. Out of 22, Hindi, Bengali, Punjabi is ranked 3rd, 7th …
GFCC based discriminatively trained noise robust continuous ASR system for Hindi language
A statistically designed Automatic Speech Recognition (ASR) system extracts features from
speech signals using feature extraction methods, links the extracted features with the …
speech signals using feature extraction methods, links the extracted features with the …
Discriminatively trained continuous Hindi speech recognition using integrated acoustic features and recurrent neural network language modeling
A Kumar, RK Aggarwal - Journal of Intelligent Systems, 2020 - degruyter.com
This paper implements the continuous Hindi Automatic Speech Recognition (ASR) system
using the proposed integrated features vector with Recurrent Neural Network (RNN) based …
using the proposed integrated features vector with Recurrent Neural Network (RNN) based …
Discriminatively trained continuous Hindi speech recognition system using interpolated recurrent neural network language modeling
This paper implements and evaluates the performance of a discriminatively trained
continuous Hindi language speech recognition system. The system uses maximum mutual …
continuous Hindi language speech recognition system. The system uses maximum mutual …
Noise reduction using modified wiener filter in digital hearing aid for speech signal enhancement
Speech signals are usually affected by noises during the communication process. For
suppressing the noise signal that is combined with the speech signal, a Wiener filter is …
suppressing the noise signal that is combined with the speech signal, a Wiener filter is …
Discriminative training using heterogeneous feature vector for Hindi automatic speech recognition system
Training and testing are the two phases that are used in statistical approach of designing an
automatic speech recognition (ASR) system. The training phase includes parameterization …
automatic speech recognition (ASR) system. The training phase includes parameterization …
Robust perceptual wavelet packet features for recognition of continuous Kannada speech
Mahadevaswamy, DJ Ravi - Wireless Personal Communications, 2021 - Springer
An ASR system is built for the Continuous Kannada Speech Recognition. The acoustic and
language models are created with the help of the Kaldi toolkit. The speech database is …
language models are created with the help of the Kaldi toolkit. The speech database is …
Mel scaled M-band wavelet filter bank for speech recognition
P Upadhyaya, O Farooq, MR Abidi - International Journal of Speech …, 2018 - Springer
A Mel scaled M-band wavelet filter bank structure is used to extract the robust acoustic
feature for speech recognition application. The proposed filter bank can provide flexibility of …
feature for speech recognition application. The proposed filter bank can provide flexibility of …
Robust Perceptual Wavelet Packet Features for the Recognition of Spontaneous Kannada Sentences
M Shanthamallappa, DJ Ravi - Wireless Personal Communications, 2023 - Springer
The speech community achieved significant improvements in the performance of ASR
systems for English and other languages. But, the ASR for low-resource languages is still far …
systems for English and other languages. But, the ASR for low-resource languages is still far …
Admissible wavelet packet sub‐band‐based harmonic energy features for Hindi phoneme recognition
In recent years, wavelet packet (WP) transform has been used as an important speech
representation tool. WP‐based acoustic features have found to be more effective than the …
representation tool. WP‐based acoustic features have found to be more effective than the …