This model is a fine-tuned version of wav2vec2-large-xlsr for automatic speech recognition in Swahili. It accepts audio input and outputs transcriptions. It is intended for developers building voice applications or transcription tools for East African languages.
In the Speech to text space, Wav2vec2 Large Xlsr Mvc Swahili takes a focused approach. It focuses on transcribing and recognizing spoken Swahili audio with high accuracy. It is built as an open-source project for developers. Wav2vec2 Large Xlsr Mvc Swahili is open source under the Open Source license. Wav2vec2 Large Xlsr Mvc Swahili is available on the web and API.
Behind Wav2vec2 Large Xlsr Mvc Swahili is eddiegulay. Among its 3 catalogued features are Automatic Speech Recognition, Transformers Support, and Swahili Language. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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