Charu Singh

Indira Gandhi Delhi Technical University for Women

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Dharm Singh Jat

Namibia University of Science and Technology

Anton Limbo

University of Namibia

Rajesh Kumar M

Saveetha University

Maarten Venter

P. V. Jiju

Central Forensic Science Laboratory

David J. Brown

University of Bath

Sitanshu Sekhar Sahu

Birla Institute of Technology, Mesra

Reecha Sharma

Punjabi University

Geetika Aggarwal

Teesside University

R M Binns

Northumbria University

Cooperative Institutions

Birla Institute of Technology, Mesra

National Institute of Technology Raipur

KIIT University

Indian Institute of Technology Bhubaneswar

Namibia University of Science and Technology

Govind Ballabh Pant University of Agriculture and Technology

Kaziranga University

Kumaun University

Northumbria University

Amity University

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Study on the Selection of Specific Filters for Enhancement of Recorded Speech for Speaker Identification

The Open Forensic Science Journal (2009)

P. V. Jiju Charu Singh Dr Rakesh Sharma

Understanding the noise characteristics for finding appropriate filtering technique/s so as to obtain sufficiently clear speech samples for Speaker Identification, is one of the challenging tasks in Forensic Acoustics.Speaker's idiosyncratic speech should not be affected when the noise reduction is carried out; otherwise, Speaker Identification becomes highly erroneous.We have collected fifty noisy speech samples reported to be recorded in different modes from actual crime cases received in the laboratory.The samples are analyzed after subjecting to various filtering techniques and compared with the clear speech mixed with the noise collected from non-speech portion.Distortion levels on the speech are studied at various stages of application of filters in terms of SNR and Speaker Specific Information.Retaining the Speaker Specific Information as primary concern of our study, the limitation of filtering techniques depending on the characteristic and intensity level of noise is worked out for noisy speech samples.Subsequently a statistical study is also conducted.Listening tests were conducted to ensure that the perceptual features of the original noisy speech are preserved while applying filters.This work demonstrates the efficiency of Noise reduction filters in improving SNR and their controlled applications for preserving Speaker dependent features depending on the various noise characteristics embedded on speech samples.

Speaker identification

Identification

Distortion (music)

Speaker diarisation

10.2174/1874402800902010029

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Citations (1)

A Review of the Quality of Service for Time-Sensitive Applications Through Admission Control in 802.11 WLAN

Lecture notes in networks and systems (2018)

Dharm Singh Jat Arun Shejwal Guy Lusilao Charu Singh

10.1007/978-981-10-8198-9_69

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Citations (1)

A Real-Time DSP-Based System for Voice Activity Detection and Background Noise Reduction

Elsevier eBooks (2019)

Charu Singh Maarten Venter Rajesh Kumar M David J. Brown

Gaussian Noise

Value noise

Colors of noise

Gradient noise

Salt-and-pepper noise

Noise temperature

10.1016/b978-0-12-818130-0.00003-9

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Citations (3)

DSP-based voice activity detection and background noise reduction

International Journal of Speech Technology (2018)

Charu Singh Maarten Venter Rajesh Kumar M David J. Brown

10.1007/s10772-018-9556-z

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Citations (2)

Family Lamiaceae : phytoremediation aspects

Zenodo (CERN European Organization for Nuclear Research) (2014)

Gitu Kunwar Geeta Tewari Chitra Pande Charu Singh Girish C. Kharkwal

10.5281/zenodo.5592206

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Citations (3)

Mathematical Analysis of Different Noises for 3D Perfect Difference Codes based OCDMA System

International Journal of Signal Processing Image Processing and Pattern Recognition (2015)

Charu Singh Gurjit Kaur

The perfect difference codes minimize the Phase Induced Intensity Noise (PIIN) and cancel the multiple access interference.Earlier researchers analyze the performance of OCDMA systems considering three noises namely PIIN, shot and thermal noise for 3D Perfect Difference Codes (PDC) for OCDMA system.In this research paper we have considered two more noises i.e. 1/f and generation recombination noise for 3D PDC based OCDMA system.Mathematical analysis has been done and the performance of the system has been evaluated for higher data rates i.e. 1Gbps to 10Gbps for minimum BER -9 .

10.14257/ijsip.2015.8.7.02

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Citations (1)

Internet of Things for Automation in Smart Agriculture

Advances in environmental engineering and green technologies book series (2018)

Dharm Singh Jat Anton Limbo Charu Singh

By combining the different monitoring and automation techniques available today, we can develop cutting-edge internet of things (IoT) systems that can support sustainable development through smart agriculture. Systems are able to monitor the farming areas and react to the parameters being monitored on their own without the presence of human beings. This automation can result in a more precise way of maintaining the aspects that affect the growth of plants, leading to an increase in the food production on farmlands. This chapter focuses on IOT for automation in smart agriculture and provides a pathway to develop automation system in the smart environment.

Home Automation

10.4018/978-1-5225-5909-2.ch005

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Citations (6)

Reaganomics and China

Charu Singh Shashi Sawhney

Source

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Speech-based automation system for the patient in orthopedic trauma ward

Elsevier eBooks (2020)

Dharm Singh Jat Anton Limbo Charu Singh