Chitralekha Gupta

Orcid: 0000-0003-1350-9095

According to our database1, Chitralekha Gupta authored at least 37 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Can AI Models Summarize Your Diary Entries? Investigating Utility of Abstractive Summarization for Autobiographical Text.
Int. J. Hum. Comput. Interact., December, 2024

VR.net: A Real-world Dataset for Virtual Reality Motion Sickness Research.
IEEE Trans. Vis. Comput. Graph., May, 2024

SonicVista: Towards Creating Awareness of Distant Scenes through Sonification.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024

Example-Based Framework for Perceptually Guided Audio Texture Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

EMO-KNOW: A Large Scale Dataset on Emotion and Emotion-cause.
CoRR, 2024

2023
PoLyScriber: Integrated Fine-Tuning of Extractor and Lyrics Transcriber for Polyphonic Music.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Evaluating Descriptive Quality of AI-Generated Audio Using Image-Schemas.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Towards Controllable Audio Texture Morphing.
Proceedings of the IEEE International Conference on Acoustics, 2023

EMO-KNOW: A Large Scale Dataset on Emotion-Cause.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploring the Design Space of Assistive Augmentation.
Proceedings of the Augmented Humans International Conference 2023, 2023

2022
Deep Learning Approaches in Topics of Singing Information Processing.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Automatic Lyrics Transcription of Polyphonic Music With Lyrics-Chord Multi-Task Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

PoLyScribers: Joint Training of Vocal Extractor and Lyrics Transcriber for Polyphonic Music.
CoRR, 2022

Parameter Sensitivity of Deep-Feature based Evaluation Metrics for Audio Textures.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Genre-Conditioned Acoustic Models for Automatic Lyrics Transcription of Polyphonic Music.
Proceedings of the IEEE International Conference on Acoustics, 2022

Sound Model Factory: An Integrated System Architecture for Generative Audio Modelling.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2022

2021
Signal Representations for Synthesizing Audio Textures with Generative Adversarial Networks.
CoRR, 2021

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Training Explainable Singing Quality Assessment Network with Augmented Data.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Towards Reference-Independent Rhythm Assessment of Solo Singing.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Automatic Leaderboard: Evaluation of Singing Quality Without a Standard Reference.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Automatic Rank-Ordering of Singing Vocals with Twin-Neural Network.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Automatic Lyrics Alignment and Transcription in Polyphonic Music: Does Background Music Help?
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Spectral Features and Pitch Histogram for Automatic Singing Quality Evaluation with CRNN.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Automatic Lyrics Transcription in Polyphonic Music: Does Background Music Help?
CoRR, 2019

Acoustic Modeling for Automatic Lyrics-to-Audio Alignment.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

NUS Speak-to-Sing: A Web Platform for Personalized Speech-to-Singing Conversion.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Automatic Lyrics-to-audio Alignment on Polyphonic Music Using Singing-adapted Acoustic Models.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Semi-supervised Lyrics and Solo-singing Alignment.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Empirically Weighting the Importance of Decision Factors for Singing Preference.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Automatic Pronunciation Evaluation of Singing.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Automatic Evaluation of Singing Quality without a Reference.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
Intelligibility of Sung Lyrics: A Pilot Study.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Towards Automatic Mispronunciation Detection in Singing.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Perceptual evaluation of singing quality.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2011
Objective Assessment of Ornamentation in Indian Classical Singing.
Proceedings of the Speech, Sound and Music Processing: Embracing Research in India, 2011

Context-Aware Features for Singing Voice Detection in Polyphonic Music.
Proceedings of the Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and Evaluation, 2011


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