Transcribe speech to text with speaker diarization and multilingual support.
npx skills add https://github.com/fikriaf/agentos --skill vibevoice
Please help me install this Agent Skill. Skill: vibevoice Source: https://github.com/fikriaf/agentos/tree/main/src/agentos/skills/mlops/vibevoice Command: npx skills add https://github.com/fikriaf/agentos --skill vibevoice
VibeVoice addresses the need for efficient audio transcription and speech generation, enabling automated speech recognition (ASR) and text-to-speech (TTS) processing, which can save significant time and effort in handling voice data.
Activate the vibevoice skill and provide the audio file for transcription, for example: "transcribe audio_file.wav".
High-intent search queries and answers about installing and using this skill.
To transcribe long audio files with speaker diarization in Python, you can use this skill to process up to 60-minute recordings. It leverages PyTorch and Hugging Face Transformers to automatically convert spoken words into structured text.
Yes, automated speech recognition supports multilingual audio transcription. This skill can process audio files containing different languages, automatically converting the spoken words into accurate text using advanced AI models.
Converting text to speech using AI voice processing typically involves generating natural-sounding audio from text documents. While this skill includes TTS functionality, note that the text-to-speech feature is currently disabled in its implementation.
Yes, you need PyTorch and Hugging Face Transformers to run audio transcription with this skill. These frameworks provide the underlying neural network architecture required to process audio files and accurately execute speech recognition.
Yes, you can transcribe a 60-minute meeting recording for automated speech recognition. The skill explicitly supports long audio files up to 60 minutes, including speaker diarization to identify different speakers.
robotlearning123Run Hugging Face Transformers models for NLP, vision, and audio tasks.
cafe3310Process long speech transcripts with segmented editing and resumable operations.
buda-aiExtract and enhance audio from video files for MP3/WAV/AAC output.
rajyeole6Design speech-to-text pipelines converting raw audio into speaker-attributed, time-stamped transcripts.
