Speeka is an audio-to-text transcription tool that utilizes the OPENAI Whisper model to convert spoken words into written text. With Speeka, developers can easily analyze and process textual data from audio sources. It is built using state-of-the-art machine learning algorithms and libraries, and can be used for a variety of tasks including voice command recognition, speech-to-text conversion, translation, diarization, and more.
Some of the key features of Speeka include:
- High accuracy:Speeka uses the advanced OPENAI Whisper model to achieve high accuracy in audio-to-text transcription.
- Customization:Speeka can be easily customized to suit the specific needs of different applications. Users can fine-tune the model for their use case, and train their own models using their own data.
- Ease of use:Speeka is designed to be user-friendly and easy to use, even for developers without extensive experience in audio processing or NLP. The API is intuitive and well-documented, and the models are easily accessible through a simple interface.
- Translation:Speeka can also be used for language translation, making it an ideal tool for developers building multilingual applications.
- Diarization:Speeka supports speaker diarization, which is the process of partitioning an audio stream into segments according to the identity of the speaker.
We welcome contributions from the community. If you find a bug, have a feature request, or would like to contribute code, please open an issue or pull request on our GitHub repository.
Speeka is licensed under the GPL-3.0 License. See the LICENSE file for more information.