# Long Text Optimization

Parler-TTS Mini v1 is a lightweight text-to-speech model, while Retrieva-JP T5 Base Long is a Japanese text processing model. They are combined for Japanese text-to-speech tasks.

A high-performance cross-encoder model optimized for Japanese text reranking tasks, featuring a 24-layer architecture with 1024 hidden units

Whisper-Large-V3-French-Distilled is a French speech recognition model obtained by reducing the decoder layers from 32 to 16 and conducting distillation training on a large-scale dataset. This model significantly reduces memory usage and inference time while maintaining performance.

A Chinese semantic matching model based on the CoSENT algorithm, capable of mapping sentences into a 1024-dimensional dense vector space, suitable for tasks such as sentence embedding, text matching, or semantic search.