Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion
- DOI
- 10.1109/icassp48485.2024.10445740
- Published
- 2024-04-14
- Container
- ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Publisher
- IEEE
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/icassp48485.2024.10445740,
title = {Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion},
author = {Karim M. Ibrahim and Antony Perzo and Simon Leglaive},
year = {2024},
journal = {ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
doi = {10.1109/icassp48485.2024.10445740},
url = {https://doi.org/10.1109/icassp48485.2024.10445740}
}RIS
TY - JOUR TI - Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion AU - Karim M. Ibrahim AU - Antony Perzo AU - Simon Leglaive PY - 2024 JO - ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) DO - 10.1109/icassp48485.2024.10445740 UR - https://doi.org/10.1109/icassp48485.2024.10445740 ER -
APA
Ibrahim, K. M., Perzo, A., & Leglaive, S. (2024). Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp48485.2024.10445740
Source records
- crossref · retrieved 2026-11-05T13:47:26.507Z