speech-recognition

As reported by some people (see NielsRogge/Transformers-Tutorials#53 and on the forum), the generate() method currently does not take into account config.decoder.eos_token_id, only config.eos_token_id to properly stop generation.

Hence, models that are made using EncoderDecoderModel/`VisionEnco

Specs

• Leon version: latest
• OS (or browser) version: Fedora 30
• Node.js version: 10.16.3
• Complete "npm run check" output:

➡ Here is the diagnosis about your current setup
✔ Run
✔ Run modules
✔ Reply you by texting
❗ Amazon Polly text-to-speech
❗ Google Cloud text-to-speech
❗ Watson text-to-speech
❗ Offline text-to-speech
❗ Google Cloud speech-to-text
❗ Watson spee

As implemented in Python in

alphacep/vosk-api@5e46825

目前的多音字使用 pypinyin 或者 g2pM，精度有限，想做一个基于 BERT (或者 ERNIE) 多音字预测模型，简单来说就是假设某语言有 100 个多音字，每个多音字最多有 3 个发音，那么可以在 BERT 后面接 100 个 3 分类器（简单的 fc 层即可），在预测时，找到对应的分类器进行分类即可。
参考论文：
tencent_polyphone.pdf

数据可以用 https://github.com/kakaobrain/g2pM 提供的数据

进阶：多任务的 BERT
![image](https://user-images.githubusercontent.com/24568452

一个非常方便的python录音程序，专门为MASR量身定做：
按回车开始录音，说完话后再按Enter结束录音并显示识别结果，录音文件会以识别的文本命名保存，方便后期统计识别率。

代码地址:
https://github.com/deepxuexi/ARFASR

如果觉得好用，给我点个star，谢谢！