Skip to content

1.3.0 - UI Overhaul and New Backend
Compare
Choose a tag to compare
@Dadangdut33 Dadangdut33 released this 07 Nov 18:04
· 91 commits to master since this release
1.3.0
ccd7929

The 1.3.0 release is finally ready. This release fixes lots of bugs and improve the whole app by a lot. With this release, the backend is now using stable-whisper and should generate a more stable and improved results. The whole user interface has also been changed and improved, so now the user experience should be great.

For this release i also provided app installer instead of 7zip extractable .exe.

Before downloading / installing please take a look at the wiki and read the getting started section.

What's Changed

  • 1.3.0 by @Dadangdut33 in #47, thanks to everyone that submit the bug reports and feature requests
  • Added word level transcription #10 thanks @MaxHaller91 for the request
  • Added file process indicator
  • Added color coded for accuracy
  • Added faster whisper
  • Added character limit #44 thanks @LearningJer for the request
  • Added ways to install ffmpeg inside the app
  • Added customizable output format #42 thanks @joebinglab for the request
  • Added refinement, alignment, and translation of result
  • Added ability to export record session with file like output
  • Added keyboard support for combobox
  • Added VAD option to record session
  • Added audiometer for record session indicator
  • Added ability to use either ndarray or temp file for record session
  • Added multiple whisper model to the translation engine combobox
  • Added copy to clipboard button #36 thanks @MirkoPMC for the request
  • Changed backend to stable whisper #27 thanks @k566o for the report
  • Changed vanilla logger to loguru
  • Changed subtitle window to use tkhtml label
  • Fixed wrong language code #34 thanks @SugarQuiet for the report
  • Fixed crash that might happen in record session #31 #40 thanks @yslion @FerriteGiant for the report
  • Fixed clearing on record session
  • Fixed subtitle windows dragging
  • Fixed device query #41 thanks @IcarusAegis for the report
  • Fixed filename mixed up #32 thanks @Corvalan for the report

Full Changelog: 1.2.3...1.3.0

Requirements
  • Compatible OS:
OS Prebuilt binary As a module
Windows ✔️ ✔️
MacOS ❌ ✔️
Linux ❌ ✔️

* Python 3.8 or later (3.11 is recommended) for installation as module.

  • Speaker input only work on windows 8 and above.
  • Internet connection (for translation with API)
  • FFmpeg is required to be installed and added to the PATH environment variable. You can do it when prompted in the app, or you can download it here and add it to your path manually. Alternatively, you can also download and add it to path automatically by using the following commands:
# on Windows using powershell (Also included in the release page, and can be run by right clicking and selecting "Run with PowerShell")
# Must be run in an elevated PowerShell prompt (Run as administrator)
Set-ExecutionPolicy RemoteSigned -Scope CurrentUser # Optional: Needed to run a remote script the first time
& ([scriptblock]::Create(
     (New-Object System.Net.WebClient).DownloadString('https://raw.githubusercontent.com/Dadangdut33/Speech-Translate/master/install_ffmpeg.ps1')
  )) -webdl

# on Windows using Winget (Default package manager for Windows 10 and above)
winget install --id=Gyan.FFmpeg  -e

# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg

# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg

# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg

# on Arch Linux
sudo pacman -S ffmpeg

# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg
  • Recommended to have capable GPU with CUDA compatibility (prebuilt version is using CUDA 11.8) to run each model. Each whisper model has different requirements, for more information you can check it directly at the whisper repository.
Size Parameters English-only model Multilingual model Required VRAM Relative speed
tiny 39 M tiny.en tiny ~1 GB ~32x
base 74 M base.en base ~1 GB ~16x
small 244 M small.en small ~2 GB ~6x
medium 769 M medium.en medium ~5 GB ~2x
large 1550 M N/A large ~10 GB 1x

* This information is also available in the app (hover over the model selection in the app and there will be a tooltip about the model info). Also note that when using faster-whisper, the speed will be significantly faster and the required vram size will be reduced depending on the usage, for more information about this please visit faster-whisper repository

Contributors

yslion, FerriteGiant, and 9 other contributors
Assets 7
Loading