

Diarizen
Overview :
DiariZen is a speaker segmentation toolkit powered by AudioZen and Pyannote 3.1. Speaker segmentation is a crucial step in audio processing, allowing the differentiation of various speakers within a segment of audio. This technology is widely applicable in fields such as meeting transcription, call monitoring, and security surveillance. Key advantages of DiariZen include its user-friendliness, high accuracy, and open-source nature, enabling researchers and developers to freely utilize and enhance it. DiariZen is available on GitHub under the MIT license, meaning it is completely free and can be used commercially.
Target Users :
The target audience primarily consists of researchers and developers in the field of audio processing, especially those who require speaker segmentation for analyzing multi-speaker audio. DiariZen's ease of use and accuracy make it an ideal choice for both academic research and commercial applications.
Use Cases
Researchers use DiariZen to segment audio from meetings to analyze speaking patterns.
Security agencies utilize DiariZen to process surveillance recordings for identifying and tracking specific individuals.
Developers integrate DiariZen into their applications to provide real-time speaker identification functionalities.
Features
Provides efficient speaker segmentation based on AudioZen and Pyannote 3.1.
Supports various public datasets, such as AMI, AISHELL-4, and AliMeeting, for model training and evaluation.
Offers pre-trained models and estimated RTTM files for convenient user access.
Supports speaker segmentation using WavLM Base+ and ResNet34-LM models.
Includes detailed installation and usage instructions to facilitate quick onboarding for users.
Open-source code allowing customization and optimization according to user needs.
How to Use
1. Create and activate a virtual Python environment.
2. Install DiariZen and its dependencies.
3. Download and prepare the required datasets.
4. Download pre-trained models such as WavLM Base+ and ResNet34-LM.
5. Modify the paths in the dataset and configuration files.
6. Run the provided scripts to perform speaker segmentation.
7. Analyze the results and further process or visualize the segmented audio data as needed.
Featured AI Tools

Pseudoeditor
PseudoEditor is a free online pseudocode editor. It features syntax highlighting and auto-completion, making it easier for you to write pseudocode. You can also use our pseudocode compiler feature to test your code. No download is required, start using it immediately.
Development & Tools
3.8M

Coze
Coze is a next-generation AI chatbot building platform that enables the rapid creation, debugging, and optimization of AI chatbot applications. Users can quickly build bots without writing code and deploy them across multiple platforms. Coze also offers a rich set of plugins that can extend the capabilities of bots, allowing them to interact with data, turn ideas into bot skills, equip bots with long-term memory, and enable bots to initiate conversations.
Development & Tools
3.8M