# Cross-language Support

Vision Transformer model based on SigLIP 2 technology, focused on image feature extraction

OuteTTS-0.3-1B is a multilingual text-to-speech model developed by OuteAI, supporting English, Chinese, Japanese, Korean, French, and German.

OuteTTS-0.3-1B is a multilingual text-to-speech model developed by OuteAI and quantized by Second State Inc.

OuteTTS-0.3-500M is a multilingual text-to-speech model developed by OuteAI and released under the cc-by-nc-4.0 license.

Speechless is a compact open-source text-to-semantic model (1 billion parameters) designed to directly convert audio into discrete semantic tokens without relying on traditional text-to-speech (TTS) models.

Speechless is a compact open-source text-to-semantic model (1 billion parameters) designed to directly convert audio into discrete semantic representation tokens without relying on traditional text-to-speech (TTS) models.

OuteTTS-0.2-500M is a multilingual text-to-speech model developed by OuteAI, supporting English, Chinese, Japanese, and Korean.

GPT-SoVITS (V1) is a multilingual text-to-speech foundation model supporting Chinese, English, and Japanese.

Whisper is a multilingual automatic speech recognition (ASR) system that supports speech-to-text tasks in multiple languages.

A multilingual detection model based on XLM-RoBERTa, capable of identifying the language category of text.

Whisper large-v2 is a large-scale automatic speech recognition (ASR) model developed by OpenAI, supporting multilingual speech-to-text tasks.

This is an ONNX-converted model based on sentence-transformers/all-MiniLM-L6-v2, capable of mapping sentences and paragraphs into a 384-dimensional dense vector space, suitable for tasks like clustering or semantic search.

Zabanshenas is a Transformer-based solution for identifying the most probable language of written documents/text.