Edit model card

Model Details

  • Model Description: Speech style converter model based on gogamza/kobart-base-v2
  • Developed by: Juhwan, Lee and Jisu, Kim, TakSung Heo, and Minsu Jeong
  • Model Type: Text-generation
  • Language: Korean
  • License: CC-BY-4.0

Dataset

BLEU Score

  • 25.35

Uses

This model can be used for convert speech style

  • formal: 문어체
  • informal: ꡬ어체
  • android: μ•ˆλ“œλ‘œμ΄λ“œ
  • azae: μ•„μž¬
  • chat: μ±„νŒ…
  • choding: μ΄ˆλ“±ν•™μƒ
  • emoticon: 이λͺ¨ν‹°μ½˜
  • enfp: enfp
  • gentle: 신사
  • halbae: 할아버지
  • halmae: ν• λ¨Έλ‹ˆ
  • joongding: 쀑학생
  • king: μ™•
  • naruto: λ‚˜λ£¨ν† 
  • seonbi: μ„ λΉ„
  • sosim: μ†Œμ‹¬ν•œ
  • translator: λ²ˆμ—­κΈ°

from transformers import pipeline

model = "KoJLabs/bart-speech-style-converter"
tokenizer = AutoTokenizer.from_pretrained(model)

nlg_pipeline = pipeline('text2text-generation',model=model, tokenizer=tokenizer)
styles = ["문어체", "ꡬ어체", "μ•ˆλ“œλ‘œμ΄λ“œ", "μ•„μž¬", "μ±„νŒ…", "μ΄ˆλ“±ν•™μƒ", "이λͺ¨ν‹°μ½˜", "enfp", "신사", "할아버지", "ν• λ¨Έλ‹ˆ", "쀑학생", "μ™•", "λ‚˜λ£¨ν† ", "μ„ λΉ„", "μ†Œμ‹¬ν•œ", "λ²ˆμ—­κΈ°"]

for style in styles:
    text = f"{style} ν˜•μ‹μœΌλ‘œ λ³€ν™˜:μ˜€λŠ˜μ€ λ‹­λ³ΆμŒνƒ•μ„ λ¨Ήμ—ˆλ‹€. λ§›μžˆμ—ˆλ‹€."
    out = nlg_pipeline(text, max_length=100)
    print(style, out[0]['generated_text'])

Model Source

https://github.com/KoJLabs/speech-style/tree/main

Speech style conversion package

You can exercise korean speech style conversion task with python package KoTAN

Downloads last month
32
Safetensors
Model size
124M params
Tensor type
F32
Β·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Space using NHNDQ/bart-speech-style-converter 1