Best AI tools for< Yoruba Conversation >

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.

Open dubbing is an AI dubbing system that uses machine learning models to automatically translate and synchronize audio dialogue into different languages. It is designed as a command line tool. The project is experimental and aims to explore speech-to-text, text-to-speech, and translation systems combined. It supports multiple text-to-speech engines, translation engines, and gender voice detection. The tool can automatically dub videos, detect source language, and is built on open-source models. The roadmap includes better voice control, optimization for long videos, and support for multiple video input formats. Users can post-edit dubbed files by manually adjusting text, voice, and timings. Supported languages vary based on the combination of systems used.

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

Advanced AI for immersive Yoruba language & cultural learning.

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