![]() ![]() !whisper "Rick Astley - Never Gonna Give You Up Official Music Video.mp3" If this is the first time you’re running Whisper, it will first download some dependencies. ![]() Next, we can simply run Whisper to transcribe the audio file using the following command. Drag & Drop Upload in File Browser in Google Colab Run Whisper to Transcribe Speech to Text Now you can press the upload file button at the top of the file browser, or just drag and drop a file from your computer and wait for it to finish uploading. To do this, open the File Browser at the left of the notebook by pressing the folder icon. Now, we can upload a file to transcribe it. If you’re using Whisper on your computer, in a terminal, then don’t use the ! at the beginning of the line. Note: We’re prefixing every command with ! because that’s how Google Colabs works when using shell scripts instead of Python. !sudo apt update & sudo apt install ffmpeg The install process should take 1-2 minutes. To run the commands, click the play button at the left of the cell or press Ctrl + Enter. To install it, just paste the following lines in a cell. (You can also check install instructions in the official Github repository). Set GPU as Hardware Accelerator Install Whisper Make sure GPU is selected and click Save. Under Hardware accelerator there’s a dropdown. To do this, in our Google Colab menu, go to Runtime > Change runtime type. Google often allocates us a GPU by default, but not always. Next, we want to make sure our notebook is using a GPU. Create a Google Colab Notebook in Google Drive Enable GPU It’s called Untitled.ipynb but you can rename it anything you want. A new tab will open with your new notebook. To do that, you can just visit this link and Google will generate a new Colab notebook for you.Īlternatively, you can go anywhere in your Google Drive > Right Click (in an empty space like you want to create a new file) > More > Google Colaboratory. Open a Google Colab Notebookįirst, we’ll need to open a Colab Notebook. For example, on my computer ( CPU I7-7700k/ GPU 1660 SUPER) I’m transcribing 30s in a few minutes, whereas on Google Colab it’s a few seconds. If you don’t have a powerful computer or don’t have experience with Python, using Whisper on Google Colab will be much faster and hassle free. For a quick beginner friendly intro, feel free to check out our tutorial on Google Colab to get comfortable with it. You can use Google Colab on any device, and you don’t have to download anything. Essentially Google Colab is like Google Docs, but for coding in Python. but I'll save that for another blog entry.Google Colab is a cloud-based service that allows users to write and execute code in a web browser. (What I'm actually getting around to is starting off with initial text like this, and then launching iTunes at whatever time I specify in the morning. You should hear each of the phrases above spoken by your computer. Copy and paste the text above into your Script Editor, then press the Run button. If you want to run this on your Mac, just go to your Applications folder, open the AppleScript folder, then start the Script Editor. Say "It's time to wake up, it's time to wake up!" using "cellos" Say "You asked us to wake you up at this time." using "Victoria" Say "Wake up sleepy head" using "Trinoids" Say (time string of (current date)) using "Vicky" Say "Al, it's time to rise and shine." using "Fred" Here's what the first part of my AppleScript program looks like: Mac text to speech AppleScript exampleĪs part of my AppleScript alarm clock programming effort, I'm starting my "wake up" effort with some computer voices. You can keep changing the System Voice and clicking the Play button to here samples of what each voice sounds like. Now choose a value for the System Voice, and then press the Play button. You can experiment with these voices on your Mac OS X system by choosing System Preferences, Speech, then clicking the "Text to Speech" tab. # all these voices are available on Mac OS X 10.5 If you ever want to use this text-to-speech functionality, here's a list of the voices built into the system: Mac OS X text to speech using AppleScriptĪs I started digging into the Mac text to speech capability I learned that there are a number of voices built into Mac OS/X, which is very cool. Okay, really, what I’m doing is writing an AppleScript iTunes alarm clock program to wake me up in the morning, and in the process I started digging into this Mac text to speech stuff, using AppleScript. I’m goofing around currently, using the very cool Mac text to speech capability. MacOS text/speech FAQ: What do you know about Mac OS X text to speech voice capabilities, including using AppleScript to convert text to speech?
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