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Dataset Creation
Dhravani

Dhravani

Speech Corpus Creation Tool

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Dhravani

Speech Corpus Creation Tool

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What is Dhravani ?

Dhravani is a Speech Corpus Creation Tool designed for creating high-quality speech datasets. It allows users to record voices and transcribe them efficiently, making it an essential tool for dataset creation in various applications like speech recognition, voice assistants, and language research.

Features

• Multi-Language Support: Record and transcribe speech in multiple languages, catering to diverse linguistic needs. • AI-Powered Transcription: Utilizes advanced AI algorithms for accurate and rapid transcription of recorded audio. • Collaborative Workspace: Enables team collaboration for efficient dataset creation and management. • Audio Quality Control: Includes tools to analyze and enhance audio quality for optimal dataset performance. • Customizable Metadata: Allows users to add and manage metadata for better organization and search functionality.

How to use Dhravani ?

  1. Launch the Application: Open Dhravani on your device.
  2. Set Up Your Project: Create a new project and select the target language and transcription settings.
  3. Record Audio: Start recording speech samples using your microphone.
  4. Transcribe Audio: Use the AI transcription feature to convert recorded audio into text.
  5. Review and Edit: Review transcriptions, make edits, and ensure accuracy.
  6. Export Dataset: Export your speech corpus in the desired format for further use.

Frequently Asked Questions

What languages does Dhravani support?
Dhravani supports a wide range of languages, including popular ones like English, Spanish, Mandarin, and many others. Check the app for the full list of supported languages.

Do I need an internet connection to use Dhravani?
Yes, an internet connection is required for AI transcription and feature updates, but audio recording can be done offline.

What formats can I export my dataset in?
Dhravani allows you to export your speech corpus in common formats such as WAV, MP3, and XML, depending on your project requirements.

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