Knowledge Graph
Silytics Knowledge Graph
See how models, datasets, papers and organizations connect. Every link comes from public metadata: papers named on a model card, datasets and base models named in its tags, and the organization that published it. Click any dot to re-center; the smaller outer ring is two steps away.
Sanghyang00/omniasr-molge
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Connections
- MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition Papercites
- UR-BERT: Scaling Text Encoders for Massively Multilingual TTS Through Universal Romanization and Speech Token Prediction Papercites
- Sanghyang00/elarspeech Datasetsame organization
- Sanghyang00/ELARSpeech-OmniASR-1B-sri-lankan-portuguese-creole Modelsame organization
- Sanghyang00/ELARSpeech-OmniASR-1B-mxz Modelsame organization
- Sanghyang00/ELARSpeech-OmniASR-1B-wrr Modelsame organization
- Sanghyang00/ELARSpeech-OmniASR-1B-inp Modelsame organization
- Sanghyang00/ELARSpeech-OmniASR-1B-western-algerian-amazigh Modelsame organization
Relationships are extracted automatically from public metadata and may be incomplete or wrong. Absence of a link does not mean absence of a relationship. Intelligence · Compare models