Instructions to use facebook/mms-tts-tir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-tir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-tir")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-tir") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-tir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
uroman phonemization
#1
by Aregay01 - opened
The characters ቸ and ጨ, ተ and ጠ, as well as አ and ዐ are mapped to the same phoneme, which introduces noticeable errors in the synthesized speech. This issue arises from inefficient phonemization that fails to adequately represent Tigrinya phonology. Are there any suggestions for expanding the phoneme inventory or improving vocabulary coverage?