Automated Captioning & Transcription

The Automated Captioning & Transcription module in LYPS AI enables accurate, real-time speech-to-text conversions for video subtitles, live-stream captions, and more. By combining powerful natural language processing (NLP) with decentralized compute resources, LYPS AI makes sure your content is both accessible and engaging to a global audience.

Core Capabilities

1. High-Accuracy Speech-to-Text

   • Converts spoken audio into text with minimal errors.

   • Supports multiple languages and dialects for broader reach.

2. Automated Video Subtitles

   • Syncs generated captions with the video timeline for precise, frame-level alignment.

   • Optionally includes style settings just like font, color, or placement for brand consistency.

3. Real-Time Caption Suggestions

   • Live streaming events or webinars can display continuous speech-to-text overlays.

   • Helps improve accessibility for hearing-impaired audiences during real-time broadcasts.

4. Multilingual Support

   • Auto-detect or specify languages for metadata tagging and translation.

   • Expand your content to international audiences with minimal overhead.

How It Works

1. Audio Ingestion

   • Provide either an audio file or the audio track from your uploaded video.

   • If working with a livestream, set up a WebSocket connection that streams audio data to LYPS AI.

2. Speech Recognition

   • The audio signal is processed by an AI-based speech recognition module.

   • Optional language detection kicks in if you haven’t manually specified the source language.

3. Segmentation & Timestamps

   • The module splits the audio into segments, each with its own timestamp.

   • These timestamps align with video frames (if provided) or timecodes (for pure audio).

4. Caption Formatting

   • The recognized text is formatted into subtitle blocks or transcripts.

   • Includes basic punctuation, capitalization, and optional speaker identification.

5. Output & Verification

   • The final text can be retrieved or, in the case of a livestream, displayed directly as subtitles.

   • Licensing records and usage logs are stored on the blockchain for transparency.

Usage Example

Below is a REST-based workflow for uploading audio and retrieving a transcription. If you already have a video uploaded to LYPS AI, you can pass its ID to transcribe the embedded audio.

1. Upload Audio:

   POST /caption/upload  
   Content-Type: multipart/form-data  
   
   {  
     "file": "path/to/your/audio.mp3",  
     "metadata": {  
       "title": "Interview Audio",  
       "language": "en-US"  
     }  
   }  

   • You get back an audioId that the system uses to store and reference your file.

2. Request Transcription:

   POST /caption/transcribe  
   Content-Type: application/json  
   
   {  
     "audioId": "AUDIO_ID",  
     "language": "en-US",  
     "timestamped": true  
   }  

   • Setting "timestamped" to true will return timecodes for each segment or sentence.

3. Retrieve Results:

   bashCopy CodeGET /caption/results?audioId=AUDIO_ID  

   • The response format includes aligned timecodes and text, which can be converted into .srt or .vtt subtitle files.

Real-Time Captioning

For livestreams, LYPS AI provides a WebSocket endpoint (e.g., /ws/captions). When connected:

• You stream audio packets in real time.

• The module returns partial and final text blocks that can be overlaid with minimal latency.

• This method is beneficial for live events, lectures, or interactive webinars where immediate accessibility is crucial.

Common Use Cases

1. Accessibility & Inclusivity

   • Provide subtitles for the hearing-impaired or for viewers who can’t enable sound.

   • Comply with accessibility standards (like WCAG 2.1) and expand your audience.

2. E-Learning & Corporate Training

   • Enhance course videos and tutorials with immediate or post-produced captions.

   • Offer localized transcripts in multiple languages for a global student base.

3. Media & Broadcast

   • Insert real-time captions for news broadcasts, interviews, or talk shows.

   • Archive transcriptions for searchable content libraries or repurposing in social clips.

4. Market Analysis & Research

   • Rapidly transcribe focus group sessions, user interviews, or conference calls.

   • Simplify data analysis by having thorough transcripts for text mining and sentiment analysis.

Fine-Tuning & Customization

• Vocabulary Expansion: Specify domain-specific or brand-specific terms (e.g., product names, technical jargon) to improve recognition accuracy.

• Language Model Updates: Developers can integrate updated NLP models via LYPS AI’s plugin system, ensuring the module evolves with language trends.

• Speaker Diarization: Include an optional step to tag multiple speakers, helpful for interviews or multi-participant podcasts.

Cost & Crediting

• Token Costs: The complexity and length of your audio (or video) directly influence compute usage, impacting LYPS token fees.

• Attribution: The blockchain logs the usage stats so node operators get rewarded for powering the speech-to-text process.

Getting Started

1. Upload Audio/Video: Use the upload endpoints to get your media into LYPS AI.

2. Transcribe: Submit a transcription request, specifying language preferences and any custom vocabulary.

3. Review: Collect your results in .srt or .vtt format for easy insertion into your video player or editing software.

4. Iterate: Tweak language specifics, add new domain vocabulary, or upgrade your language model for higher accuracy.