FunASR
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Funasr
Overview :
FunASR is an offline voice file transcription software package that integrates speech endpoint detection, speech recognition, and punctuation models. It can convert long audio and video files into punctuated text while supporting concurrent transcription of multiple requests. The system supports ITN and user-defined keywords, and the server integrates ffmpeg, accommodating various audio and video format inputs. It offers clients in multiple programming languages, making it ideal for enterprises and developers needing efficient and accurate voice transcription services.
Target Users :
The target audience includes enterprises that require extensive voice data transcription, developers, and research institutions in need of speech recognition solutions. FunASR’s high accuracy and concurrent processing capabilities make it particularly suitable for scenarios requiring the handling of large volumes of voice data, such as meeting minutes transcription, audio content production, and audio archival.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 61.5K
Use Cases
Businesses using FunASR for real-time transcription of meeting recordings, quickly generating meeting summaries.
Online education platforms leveraging FunASR to convert lecture audio into textual materials for students' review.
Media companies utilizing FunASR to transform interview recordings into text, thus improving editorial efficiency.
Features
Complete speech recognition pipeline, including speech endpoint detection, speech recognition, and punctuation prediction.
Able to process hours of long audio and video content, converting it into punctuated text.
Supports hundreds of concurrent requests for transcription, accommodating high-demand scenarios.
Server-side integration with ffmpeg, allowing for various audio and video format inputs.
Provides clients in multiple programming languages including HTML, Python, C++, Java, and C#.
Supports word-level timestamps for easy alignment of text with speech.
Allows for user-defined keywords, enhancing the recognition accuracy of specific vocabularies.
How to Use
1. Install Docker; if already installed, skip this step.
2. Pull the Docker image for the FunASR software package.
3. Start the Docker image and map the relevant resource directories.
4. Launch the funasr-wss-server service within Docker.
5. Download the client testing tool directory 'samples'.
6. Use the client to conduct audio file transcription tests, such as using the Python client for transcription.
7. Modify server or client code as necessary to meet specific business requirements.
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