Independent publisher
Sangmin Lee
Sanghyang00
Speech & Natural Language Processing, Multilingualism, Low-Resource Language Modeling
Compare the published evidence
This profile connects the 5 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Speech recognition.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
An ELARSpeech automatic speech recognition model for Bunak. Input audio must be mono, sampled at 16 kHz. Whisper uses an ELARSpeech language token in the explicit decoder prompt. Use the prompt above rather than language= to reproduce the exported model's decoding behavior. The exported artifact is checked against the original ELARSpeech checkpoint on a fixed evaluation sample set. Exact-transcription verification status: PASS. This is a single-language ASR model. Accuracy can vary by recording conditions, speaker population, orthography, and domain. Resample input audio to 16 kHz mono. Please cite ELARSpeech and the base model above when using this model. See the ELARSpeech project…
An ELARSpeech automatic speech recognition model for Belait. Input audio must be mono, sampled at 16 kHz. Whisper uses an ELARSpeech language token in the explicit decoder prompt. Use the prompt above rather than language= to reproduce the exported model's decoding behavior. The exported artifact is checked against the original ELARSpeech checkpoint on a fixed evaluation sample set. Exact-transcription verification status: PASS. This is a single-language ASR model. Accuracy can vary by recording conditions, speaker population, orthography, and domain. Resample input audio to 16 kHz mono. Please cite ELARSpeech and the base model above when using this model. See the ELARSpeech project…
An ELARSpeech automatic speech recognition model for Bastimentos Creole English. Input audio must be mono, sampled at 16 kHz. Whisper uses an ELARSpeech language token in the explicit decoder prompt. Use the prompt above rather than language= to reproduce the exported model's decoding behavior. The exported artifact is checked against the original ELARSpeech checkpoint on a fixed evaluation sample set. Exact-transcription verification status: PASS. This is a single-language ASR model. Accuracy can vary by recording conditions, speaker population, orthography, and domain. Resample input audio to 16 kHz mono. Please cite ELARSpeech and the base model above when using this model. See the…
An ELARSpeech automatic speech recognition model for Waimaha. Input audio must be mono, sampled at 16 kHz. Whisper uses an ELARSpeech language token in the explicit decoder prompt. Use the prompt above rather than language= to reproduce the exported model's decoding behavior. The exported artifact is checked against the original ELARSpeech checkpoint on a fixed evaluation sample set. Exact-transcription verification status: PASS. This is a single-language ASR model. Accuracy can vary by recording conditions, speaker population, orthography, and domain. Resample input audio to 16 kHz mono. Please cite ELARSpeech and the base model above when using this model. See the ELARSpeech project…