Best AI tools for< Yoruba Researcher >

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

Speechlib is a Python library that provides functionalities for speaker diarization, speaker recognition, and transcription on audio files. It offers features such as converting audio formats to WAV, converting stereo to mono, and re-encoding to 16-bit PCM. The library allows users to transcribe audio files, store transcripts, specify language and model size, and perform speaker recognition using voice samples. It supports various languages and provides performance metrics for different model sizes. Speechlib utilizes huggingface models for speaker recognition and transcription tasks.

Oniwosan ounjẹ, pese ilana itọju ijẹẹmu, Ṣe agbekalẹ akojọ aṣayan ni ibamu si awọn ibi-afẹde :: Èdè Yorùbá

Advanced AI for immersive Yoruba language & cultural learning.

A friendly Nigerian tutor for basic Hausa, Igbo, and Yoruba conversational skills with pronunciation aids.