WebStep 1 General distillation: Distilling a general TinyBERT model from the original pre-trained BERT model with the large-scale open domain data. Step 2 Finetune teacher model: Taking BERT as the encoder of the front-end model and training the whole front-end with the TTS-specific training data (i.e., polyphone and PSP related training datasets).

Figure 5 from Disambiguation of Chinese Polyphones in an End-to …

Webg2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin Yi-Chang Chen 1 Yu-Chuan Chang 1 Yen-Cheng Chang 1 Yi-Ren Yeh 2 1 E.SUN Financial … WebMar 20, 2024 · Polyphone disambiguation is the most crucial task in Mandarin grapheme-to-phoneme (g2p) conversion. Previous studies have approached this problem using pre-trained language models, restricted output, and extra information from Part-Of-Speech (POS) tagging. Inspired by these strategies, we propose a novel approach, called g2pW, which … flu without vomiting or diarrhea

A Polyphone BERT for Polyphone Disambiguation in

WebOct 11, 2024 · Unlike recent language representation models, BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers. As a result, the pre-trained BERT model can be fine-tuned with just one additional output layer to create state-of-the-art models for a wide ... WebJul 1, 2024 · In this way, we can turn the polyphone disambiguation task into a pre-training task of the Chinese polyphone BERT. Experimental results demonstrate the effectiveness … WebFigure 5: LSTM baseline approach for polyphone disambigua-tion 3.3. Settings of the proposed approach In our experiments, we adopted the pre-trained BERT model provided … flu with sore throat