Machine Translation
In-Context Learning
Improving In-Context Learning Performance in Machine Translation
Using TF-IDF retrieval to improve GPT-4 translation with better in-context learning examples
Chen Yufeng - Waseda University
3 min
Blog
Insights, tips, and updates from VoicePing
13 / 20
AI
Translation
VoicePing's Journey with 500 Global in Accelerate Aichi's Bootcamp
VoicePing's amazing journey with 500 Global and 14 founders all over Japan in Seed Bootcamp of Accelerate Aichi
VoicePing Editorial
6 min
AI
Event
Marketing Internship at VoicePing: What I Learned and Achieved - VoicePing 2.0
I am a student intern at VoicePing and am involved in web marketing. I will talk about why I came to VoicePing, my experience at VoicePing, and what I learned from that experience.
VoicePing Editorial
5 min
Machine Translation
BLEU
Evaluate Machine Translation And Improve Accuracy
A comprehensive study on evaluating and improving machine translation quality using multiple metrics and benchmark models
Chen Yufeng - Waseda University
9 min
ASR
Whisper
Fine-Tuning ASR Models for Japanese and Vietnamese
Research on fine-tuning OpenAI Whisper and Azure Speech Studio for Vietnamese and Japanese speech recognition
Vikas Reddy - University of Maryland
9 min
ASR
Whisper
Training, Evaluation and Deployment of Popular Large Language Models in Automatic Speech Recognition
Research on ASR LLM fine-tuning, speaker diarization, and model comparison
Linchuan Du - The University of British Columbia
18 min
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