Feature Request: Latin/Spanish OCR model + MeloTTS Spanish for MaixCAM2

Feature Request: Latin/Spanish OCR model + MeloTTS Spanish for MaixCAM2

Platform: MaixCAM2 / MaixPy v4

Context

I am building an assistive vision system for blind and visually impaired users using MaixCAM2. The device uses Depth-Anything-V2 for obstacle detection, YOLO11n for object identification, SmolVLM for scene description, and PP-OCR for reading signs and text. All audio feedback is via MeloTTS. The target users are Spanish speakers (Latin America).

Request 1: Latin/Spanish PP-OCR recognition model

The current pp_ocr_en.mud model fails to correctly recognize Spanish text. It confuses letters like Ñ, accented vowels, and common Spanish character combinations.

There is already a pre-converted ONNX model available at:
https://huggingface.co/docato/PaddleOCR_Mobile_Models — latin_PP-OCRv3_mobile_rec_infer.onnx

This model covers Latin-script languages including Spanish, French, Portuguese, etc. Since you already have the Pulsar2 pipeline set up for PP-OCR models on AX630, compiling this to .axmodel + .mud should follow the same process as the existing English model.

Request: Please provide pp_ocr_latin.mud (or similar) in the MaixCAM2 model zoo, using the Latin PP-OCRv3 recognition model compiled for AX630.

Request 2: MeloTTS Spanish model

The current melotts-zh.mud only supports Chinese and basic English. There is no Spanish TTS option available on MaixCAM2.

The upstream Spanish model exists at:
https://huggingface.co/myshell-ai/MeloTTS-Spanish

You already have the full conversion pipeline done for the Chinese model (melotts-zh.mud). The Spanish model uses the same MeloTTS architecture, so porting it should follow the same ONNX → INT8 quantization → .axmodel + .mud process.

Request: Please provide melotts-es.mud in the MaixCAM2 model zoo, following the same structure as melotts-zh.mud.

Why this matters

Spanish is spoken by 500+ million people. Latin America represents a huge potential user base for accessibility and assistive technology applications. Both of these additions would make MaixCAM2 significantly more useful for non-English speaking markets, with very little additional work given the pipelines already exist.

Thank you for the excellent work on MaixPy and MaixCAM2!

Start by examining the existing pp_ocr_en.mud and melotts-zh.mud artifacts and the established Pulsar2 conversion pipeline for AX630. Check the linked Latin PP-OCR and MeloTTS Spanish models for compatibility with those pipelines. Done means adding working pp_ocr_latin.mud and melotts-es.mud artifacts to the MaixCAM2 model zoo.