Ivan Kukanov

Orcid: 0000-0003-4052-2754

According to our database1, Ivan Kukanov authored at least 13 papers between 2015 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Analysis of Joint Speech-Text Embeddings for Semantic Matching.
CoRR, 2022

An Analysis of Semantically-Aligned Speech-Text Embeddings.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

2020
Maximal Figure-of-Merit Framework to Detect Multi-Label Phonetic Features for Spoken Language Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

DigiMo - towards developing an emotional intelligent chatbot in Singapore.
Proceedings of the AsianCHI '20: Proceedings of the 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures, 2020

Cost Sensitive Optimization of Deepfake Detector.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences.
CoRR, 2019

The I2R's Submission to VOiCES Distance Speaker Recognition Challenge 2019.
Proceedings of the Interspeech 2019, 2019

2018
Maximal Figure-of-Merit Embedding for Multi-Label Audio Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016
Fantastic 4 system for NIST 2015 Language Recognition Evaluation.
CoRR, 2016

Deep learning with maximal figure-of-merit cost to advance multi-label speech attribute detection.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS.
Proceedings of the Interspeech 2016, 2016

Utterance Verification for Text-Dependent Speaker Recognition: A Comparative Assessment Using the RedDots Corpus.
Proceedings of the Interspeech 2016, 2016

2015
Boosting universal speech attributes classification with deep neural network for foreign accent characterization.
Proceedings of the INTERSPEECH 2015, 2015


  Loading...