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ORCIDPooja Gambhir
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2020 – today
- 2024
[j2]Pooja Gambhir
, Amita Dev, Poonam Bansal, Deepak Kumar Sharma, Deepak Gupta:
Residual networks for text-independent speaker identification: Unleashing the power of residual learning. J. Inf. Secur. Appl. 80: 103665 (2024)- [j1]Pooja Gambhir, Amita Dev, Poonam Bansal, Deepak Kumar Sharma:
End-to-end Multi-modal Low-resourced Speech Keywords Recognition Using Sequential Conv2D Nets. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(1): 7:1-7:21 (2024) - 2023
- [c6]Harshita Rathee, Bhavika Sachdeva, Pooja Gambhir, Amita Dev, Poonam Bansal:
Advancing Parkinson's Disease Detection: An Empirical Evaluation of Machine Learning Models Based on Speech Analysis. IC3I 2023: 2339-2344 - [c5]Abhigya Verma, Nishtha Goyal, Poonam Bansal, Pooja Gambhir:
Comparing the performance of various Encoder Models and Vectorization Techniques on Text Classification. ICCCNT 2023: 1-7 - [c4]Pooja Gambhir, Amita Dev, Poonam Bansal:
Investigating Activation Functions to Enhance Speaker Identification with LSTM Networks. O-COCOSDA 2023: 1-7 - [c3]Sakshi Mittal, Aiman Shaikh, Pooja Gambhir, Amita Dev, Poonam Bansal:
An Ensemble Approach for Speaker Recognition using Deep Neural Networks. O-COCOSDA 2023: 1-7 - [c2]Bhavika Sachdeva, Harshita Rathee, Pooja Gambhir, Poonam Bansal:
Empirical Analysis of Machine Learning Models on Parkinson's Speech Dataset. O-COCOSDA 2023: 1-5 - 2022
- [c1]Pooja Gambhir, Amita Dev, Poonam Bansal:
Patterns of Vowel Production in the Speakers of Sanskrit Language. O-COCOSDA 2022 2022: 1-7
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