Detecting Syllable-Level Pronunciation Stress with A Self-Attention Model
Self-attention model for identifying stress levels in spoken English syllables
Insights, tips, and updates from VoicePing
Self-attention model for identifying stress levels in spoken English syllables

VoicePing joined the JETRO-supported Alchemist Accelerator program in Tokyo and San Francisco. Read the event report and startup lessons from the program.

Using TF-IDF retrieval to improve GPT-4 translation with better in-context learning examples

VoicePing's amazing journey with 500 Global and 14 founders all over Japan in Seed Bootcamp of Accelerate Aichi

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.

A comprehensive study on evaluating and improving machine translation quality using multiple metrics and benchmark models
Experience communication beyond language barriers with real-time voice translation
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