Search Results for author:
Found 12 papers, 8 papers with code
BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation -- Challenges and Insights
We present BreezyVoice, a Text-to-Speech (TTS) system specifically adapted for Taiwanese Mandarin, highlighting phonetic control abilities to address the unique challenges of polyphone disambiguation in the language.
The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities
In addition to language modeling capabilities, we significantly augment the models with function calling and vision understanding capabilities.
Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation
This research delves into enhancing the function-calling capabilities of LLMs by exploring different approaches, including prompt formats for integrating function descriptions, blending function-calling and instruction-following data, introducing a novel Decision Token for conditional prompts, leveraging chain-of-thought reasoning, and overcoming multilingual challenges with a translation pipeline.
Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Multi-modal Text Recognition
We introduce "Generative Fusion Decoding" (GFD), a novel shallow fusion framework, utilized to integrate Large Language Models (LLMs) into multi-modal text recognition systems such as automatic speech recognition (ASR) and optical character recognition (OCR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Breeze-7B Technical Report
Breeze-7B is an open-source language model based on Mistral-7B, designed to address the need for improved language comprehension and chatbot-oriented capabilities in Traditional Chinese.
Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite
In an effort to advance the evaluation of language models in Traditional Chinese and stimulate further research in this field, we have open-sourced our benchmark and opened the model for trial.
Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning
In this work, we propose a method to create domain-sensitive speech recognition models that utilize textual domain information by conditioning its generation on a given text prompt.
g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin
Polyphone disambiguation is the most crucial task in Mandarin grapheme-to-phoneme (g2p) conversion.
Ranked #1 on
Polyphone disambiguation
on CPP
SMILE: Sequence-to-Sequence Domain Adaption with Minimizing Latent Entropy for Text Image Recognition
Training recognition models with synthetic images have achieved remarkable results in text recognition.
Traditional Chinese Synthetic Datasets Verified with Labeled Data for Scene Text Recognition
Scene text recognition (STR) has been widely studied in academia and industry.
Integrated Semantic and Phonetic Post-correction for Chinese Speech Recognition
Due to the recent advances of natural language processing, several works have applied the pre-trained masked language model (MLM) of BERT to the post-correction of speech recognition.
A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening
We introduce a comprehensive screening platform for the COVID-19 (a. k. a., SARS-CoV-2) pneumonia.
