#audio

The google-tts API for Node.js is a versatile tool for converting text to speech with options to generate audio URLs or Base64 encoded audio. It supports multiple languages and manages long texts through efficient segmentation. The adjustable speech speed and customizable host settings ensure adaptability for different regions. Easily integrated into JavaScript or TypeScript projects via npm, this solution offers reliable audio processing without complex setup.

Whisper-node integrates Node.js bindings for OpenAI's Whisper, offering efficient local transcription with multiple output formats including JSON and text files. Designed for optimal CPU usage, it supports Apple Silicon and precise timestamping. Easily installable via npm, the tool allows customization such as language auto-detection and format choice. Anticipated updates aim to enhance functionalities like automatic file conversion and advanced speaker diarization.

Discover how the LTU and LTU-AS models bridge audio and language processing, achieving state-of-the-art results in both closed-ended and open-ended audio question tasks. Access their PyTorch implementations, pretrained checkpoints, and comprehensive datasets crucial for audio and speech AI research. Try interactive demos on HuggingFace to explore their capabilities. These models demonstrate major advancements in audio and speech understanding, offering efficient inference methods such as APIs and local setups.

Subsonic facilitates audio integration within SwiftUI for iOS 14+, macOS 11+, tvOS 14+, and watchOS 7+. It offers methods for imperative and declarative audio playback, granting developers control over sound operations. Easily installed via SwiftPM, Subsonic includes options for volume control, repeat count, and bundle specifications. Developed by Paul Hudson, Subsonic is under the MIT license.