CUPE 2i

--- language: - en - multilingual license: gpl-3.0 library_name: pytorch pipeline_tag: audio-classification tags: - phoneme-recognition - speech-processing - audio - pytorch - multilingual model-index: - name: en_libri1000_uj01d results: - task: type: phoneme-classification dataset: name: LibriSpeech type: speech-recognition metrics: - name: Phoneme Error Rate type: phoneme-error-rate value: 0.25 - name: Phoneme Group Error Rate type: phoneme-group-error-rate value: 0.23 - name: multi_MLS8_uh02 results: - task: type: phoneme-classification dataset: name: Multilingual LibriSpeech (MLS) type: speech-recognition metrics: - name: Phoneme Error Rate type: phoneme-error-rate value: 0.31 - name: Phoneme Group Error Rate type: phoneme-group-error-rate value: 0.26 - name: multi_mswc38_ug20 results: - task: type: phoneme-classification dataset: name: MSWC Multilingual Spoken Words Corpus type: speech-recognition metrics: - name: Phoneme Error Rate type: phoneme-error-rate value: 0.49 - name: Phoneme Group Error Rate type: phoneme-group-error-rate value: 0.39 --- # 🗣️ CUPE: Contextless Universal Phoneme Encoder [](https://huggingface.co/Tabahi/CUPE-2i) [](https://github.com/tabahi/contexless-phonemes-CUPE) [](https://arxiv.org/abs/2508.15316) [](https://www.gnu.org/licenses/gpl-3.0) > 🚀 **A PyTorch model for contextless phoneme prediction from speech audio** CUPE processes 120ms frames independently, ensuring each frame's embeddings are acoustically pure—unlike transformer models that mix context across frames. ## 🔗 Quick Links - 🎯 [**Bournemouth Forced Aligner**](https://github.com/tabahi/bournemouth-forced-aligner) - For phoneme/word timestamp alignment - 📁 [**CUPE GitHub**](https://github.com/tabahi/contexless-phonemes-CUPE) - Source code repository - 🤗 [**CUPE Hugging Face**](https://huggingface.co/Tabahi/CUPE-2i) - Pre-trained models --- ## 🎯 Trained Models > **📊 Three 30.1M parameter models available** All models are available in the [**checkpoints directory**](https://huggingface.co/Tabahi/CUPE-2i/tree/main/ckpt). ###...

Source context: 0 downloads · 8 likes · Pipeline audio-classification · Library pytorch · Repo Tabahi/CUPE-2i