- #Mp3 enter the ninja how to#
- #Mp3 enter the ninja mp4#
- #Mp3 enter the ninja install#
- #Mp3 enter the ninja download#
The correct tool to use is: Tracks > Resample… You need to be careful here – simply switching the rate would speed up the sound file, making the voice sound like Mikey Mouse. Next, let’s change the track sample rate. This step is easy to miss you would get an export error if you don’t perform this! Change the Project Rate (Hz) to 44100 in the drop down in the lower left corner of Audacity. In the lower left corner of the main Audacity window, change the “Project Rate (Hz)” to 44100.
You still need to convert the sample rate and depth. The mp3 generated by Amazon Polly opened in Audacity. While the sound file is already mono, it’s in a wrong format: 32-bit float with 24000 Hz sample rate.
#Mp3 enter the ninja install#
You can always verify the FFmpeg location and version in the Audacity settings, or manually locate the install path if auto-detection didn’t work. If you stay with the default location and settings during installation, Audacity will automatically find and start using the library. Make sure you close Audacity while you install FFmpeg.
#Mp3 enter the ninja download#
Download and install a pre-compiled version of FFmpeg through the Audacity settings.ĭirectly in the Audacity menu Edit > Preferences > Libraries, you will find a button that takes you to the FFmpeg download page. As this would require setting up quite some technical infrastructure, you can simply go with pre-compiled libraries provided by the community. The framework provides only the source files, which you’d have to compile yourself. However, there is a great open-source library called FFmpeg.
#Mp3 enter the ninja mp4#
While Audacity itself is immensely powerful, it doesn’t offer m4a / mp4 support out of the box on Windows and Linux, due to legal reasons (patent concerns). Make sure you get it from the official Audacity website. Converting Audio for Spark AR M4A with Audacityįirst, download and install the open-source Audacity tool. To quickly test, you can also download my generated sound file. Once you’re happy with the spoken text, click on “Download” to get the mp3 file. You can always click on “Listen” to hear a preview. Plus, neural engines are more expensive however, for a few static short text blocks that you generate, the cost savings of the standard voice are not worth the huge quality boost you gain by selecting neural voices. They are not yet available in all AWS regions and not for all languages. Most languages already support neural voices, which I’d recommend, as they sound more natural. Next, choose the language, the voice to use and enter the text to speak. Make sure the AWS region and language support neural voices! Configure Amazon Polly with a good file format (e.g., mp3), enter the text and choose a neural speech engine. It doesn’t make much difference if you don’t plan many intermediary processing steps, as the final file size should anyway be extremely low to bring your finished project to Facebook or Instagram. MP3 goes up to a sample rate of 24000 Hz, PCM is limited to 16000 Hz.Ĭhoose either PCM for uncompressed sound or go with MP3. In its additional settings, Polly offers MP3, OGG, PCM and Speech Marks. Neither Amazon Polly nor the Microsoft Azure Text-to-Speech cognitive service can directly produce an m4a audio file. Generating Audio using Text-to-Speech (mp3 / PCM) Spark AR has the following requirements on audio files:
I’m using the free Audiacity tool, which integrates the open-source FFmpeg plug-in.
#Mp3 enter the ninja how to#
This short tutorial is a guidance on how to convert artificially generated neural voices (in this case coming from an mp3 file as produced by Amazon Polly) to the m4a format accepted by Spark AR. Unfortunately, only M4A with specific settings is allowed.
Currently, Facebook’s Spark AR Studio is restrictive with supported audio formats.
0 kommentar(er)
