WebAug 30, 2024 · The experimental results verified the effectiveness of the proposed PDF model. Our system obtains an improvement in accuracy by 0.98% compared to Bert on an open-source dataset. The experiential results demonstrate that leveraging pronunciation dictionary while modelling helps improve the performance of polyphone disambiguation … 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 …
[2207.12089] A Polyphone BERT for Polyphone Disambiguation in …
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). Webpre-trained BERT [15] with a neural-network based classifier and Sun et al. [16] distilled the knowledge from the standard BERT model into a smaller BERT model for polyphone … etler és társai
Polyphone disambiguation Papers With Code
WebUpload an image to customize your repository’s social media preview. Images should be at least 640×320px (1280×640px for best display). WebOct 25, 2024 · Experimental results demonstrate the effectiveness of the proposed model, and the polyphone BERT model obtain 2% (from 92.1% to 94.1%) improvement of average accuracy compared with the BERT-based ... WebPolyphone disambiguation aims to select the correct pronunciation for a polyphonic word from several candidates, which is important for text-to-speech synthesis. Since the pronunciation of a polyphonic word is usually decided by its context, polyphone disambiguation can be regarded as a language understanding task. Inspired by the … hdi bu bedingungen