Search Results for "batch normalize audio"

...It enables developers to integrate OpenAI’s models and features into Go applications with a clean and idiomatic interface. The library provides support for a wide range of API endpoints including chat completions, assistants, embeddings, image generation, audio processing, and batch jobs. It includes built-in tools for handling authentication, managing API requests, and parsing structured responses. The repository also offers examples to help developers quickly set up projects and test different API calls. Designed for reliability and ease of use, it is maintained to stay aligned with the evolving OpenAI API specifications.

...VideoSrtIt is written in Golanglanguage and developed based on lxn/walk Windows-GUI toolkit. Open source software tool that can recognize video speech and automatically generate subtitle SRT files. It is suitable for business scenarios that quickly and batch generate Chinese/English subtitles and text files for media (video/audio). Recognize video/audio speech to generate subtitle files (support Chinese-English translation, bilingual subtitles) Extract speech text from video/audio. Batch translation, filter processing/encoding SRT subtitle files. Using the Alibaba Cloud speech recognition interface, the accuracy is high, and the standard Mandarin/English recognition rate is over 95%. ...

...See the requirements for the list of libraries necessary for compilation. Fast 2D graphics, sprites, and primitive shapes with immediate mode style IMDraw (circles, rectangles, lines, ...) Optimized drawing with Batch. Text drawing with text package. Audio through a separate Beep library. Simple and convenient API. Drawing a sprite to a window is as simple as sprite.Draw(window, matrix) Wanna know where the center of a window is? window.Bounds().Center() Full documentation and tutorial. Works on Linux, macOS and Windows. Window creation and manipulation (resizing, fullscreen, multiple windows, ...) ...

...The project emphasizes modularity, allowing users to chain operations such as encoding, filtering, and format conversion. Its design is oriented toward developers who want reproducible and scriptable pipelines for handling video and audio assets. Snickers reduces repetitive configuration by offering reusable components and presets. It is especially useful in environments where automation and batch processing are essential. The tool balances flexibility with simplicity, enabling efficient media manipulation in development workflows.