Transcribe audio to text
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Transcribe audio to text
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Sharonibejih Wav2vec2 Large Xlsr Ng En Sermon is a state-of-the-art speech-to-text model designed to transcribe audio content into text. Specifically, it is optimized for transcribing sermons and other spoken content in Nigerian English. Built using the wav2vec 2.0 framework, this model leverages advanced neural networks to achieve high accuracy in transcription tasks, even in low-resource language settings.
What languages does Sharonibejih Wav2vec2 Large Xlsr Ng En Sermon support?
Sharonibejih Wav2vec2 Large Xlsr Ng En Sermon is primarily designed for Nigerian English but can also handle other related dialects and variations.
How accurate is the transcription?
The model achieves high accuracy, especially for Nigerian English, but may vary depending on audio quality and dialect specifics.
Can I use it for real-time transcriptions?
Yes, the model supports real-time transcription, making it suitable for live sermons, meetings, or podcasts.