Identity
- Type
- university
- Country label
- Indonesia
- HQ country
- Indonesia
- Founding country
- not in the notes
- Parent
- not in the notes
- Parent country
- not in the notes
- Country basis
- the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.
Models by Class
Models
ModelClassOpennessParametersReleased
FT-whisper (IDSV)Institut Teknologi Bandung (ITB), Universitas Indonesia, JAIST, NAISTspeech recognition11 Oct 2024
MMS fine-tuned, no LM (IDSV)Institut Teknologi Bandung (ITB), Universitas Indonesia, JAIST, NAISTspeech recognition11 Oct 2024
MMS fine-tuned with LM (IDSV)Institut Teknologi Bandung (ITB), Universitas Indonesia, JAIST, NAISTspeech recognition11 Oct 2024Links
Organisation
Institut Teknologi Bandung (ITB)university, Indonesia
Institut Teknologi Bandung (ITB)university, IndonesiaModels
FT-whisper (IDSV)Institut Teknologi Bandung (ITB), speech recognition
MMS fine-tuned, no LM (IDSV)Institut Teknologi Bandung (ITB), speech recognition
MMS fine-tuned with LM (IDSV)Institut Teknologi Bandung (ITB), speech recognition
FT-whisper (IDSV)Institut Teknologi Bandung (ITB), speech recognition
MMS fine-tuned, no LM (IDSV)Institut Teknologi Bandung (ITB), speech recognition
MMS fine-tuned with LM (IDSV)Institut Teknologi Bandung (ITB), speech recognitionUse Casesnone recorded
Who Runs Itnone recorded
Models 3
FT-whisper (IDSV)Institut Teknologi Bandung (ITB), Universitas Indonesia, JAIST, NAIST, speech recognitionDeveloper
MMS fine-tuned with LM (IDSV)Institut Teknologi Bandung (ITB), Universitas Indonesia, JAIST, NAIST, speech recognitionDeveloper
MMS fine-tuned, no LM (IDSV)Institut Teknologi Bandung (ITB), Universitas Indonesia, JAIST, NAIST, speech recognitionDeveloperScores
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.
What It Builds
Where this comes from
What this organisation builds or runs in AI by itself, from its own pages, papers or reputable news.
Sources
- Enhancing Indonesian Automatic Speech Recognition: Evaluating Multilingual Models with Diverse Speech Variabilities arxiv.org https://arxiv.org/html/2410.08828v2
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Institut Teknologi Bandung (ITB)", https://aurion.semai.id/organisations/institut-teknologi-bandung/, records of October 2026.