To use CI tools for voice recognition development, you need to follow some best practices and steps. First, choose a CI tool that suits your needs and preferences, taking into consideration factors such as cost, features, compatibility, support, and documentation. You should also ensure the tool integrates well with your voice recognition platform or service. Second, set up your CI environment and configure your CI pipeline by defining the stages, tasks, and triggers of your process. Specify the tools, frameworks, and libraries necessary for voice recognition development. Third, write and run voice recognition tests to cover different aspects like accuracy, latency, robustness, usability, and security. Use different types of tests such as unit tests, integration tests, functional tests, and performance tests. Run these regularly and automatically using the CI tool. Finally, monitor and improve code quality by collecting and analyzing test results and feedback with the CI tool. Generate reports and notifications to share with team members and stakeholders. Use data from the CI tool to identify any issues or bugs as well as optimize or enhance voice recognition features.