Some people may ask why not just use Mac OS's native Services and Voiceover? With Natural Reader 16 you have on-the-fly control over voice selection, speech speed, plus you still retrain playback controls, and it shows the text like 'captions' in a tiny but very functional window. it is basically the webapp but wrapped in an app container, the one exception is that the desktop app includes what was formerly known as the Floating Bar, which is now called the Miniboard and resides under the overflow menu 'More', a feature I use a lot to readback whatever text I've selected with my cursor in whatever app avoiding the need to cut and paste or download and upload. With Natural Reader 16, the desktop app is finally on par with the webapp. You can also try alternative spellings to get the right pronunciation.Adamlogan's Experience This is my preferred software solution on Mac OS for text to speech.

Different voices sometimes pronounce the text in different ways, so one solution to weird-sounding speech is to try another voice. wav files sound like the text you meant for them to sound like. You can replace “Kate” with any voice available on your system by removing “Kate” from the code and typing your preferred voice instead.

This code uses the MacOS voice “Kate” (a female voice with a British accent). wav file for each entry from “words.txt”. In a few seconds, the directory containing “words.txt” will also include a. The “ls” command lists the folders in the current directory. will move you to the directory one above where you are. TLDR: the “cd” (current directory) command is what you need. Here’s a lesson on how to navigate via command line.

Open iTerm, and navigate to the folder where your “words.txt” file is located.

It should look something like this one we recently used to generate audio files for a digit span task:

Line break after each word or phrase that you want to generate a sound file for. Create a plain text file with the texts you want to create.Hat tip to Richard Morey for suggesting this and writing a few lines of code that saves many hours of tedious voice recording. Here’s a free (if you’ve got access to a Mac), quick method for creating spoken experimental stimuli, which I’ve implemented in this project and now use regularly in my lab.

Text to speech for macbook