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Pasar texto a audio mac

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If you cannot produce your own Morse code sounds then try using my Morse code translator to play or download some. You can either have the decoder listen to the microphone, analyse a file you upload or analyse a pre-saved sample along with some sensible parameters. If you choose to use the microphone then your web browser will prompt you to confirm that it is okay. If you have several microphones you will also need to choose which microphone to use: Of course this is all subject to change as it is not a common feature to use yet.

You have told your web browser not to allow this page to access your microphone. This means it cannot listen to any sounds apart from the pre-recorded test samples. To re-enable the microphone, you need to change your web browser's settings.

For Chrome click on the video-camera icon with a red cross in the address bar. For Firefox click on the microphone icon in the address bar, or if it's not there, click on the globe icon instead.

Tutorial Mac Español: convertir texto en voz o habla

The following table lists some pre-recorded samples along with audio filter parameters that work well. The first three samples have been downloaded from the translator and are therefore very clean sounds. The last two are both the same sound file, first listening at Hz and then at Hz to give two different messages!

Sounds processed via the microphone will not work so well as the clean samples. Use the "Apply" button to change the parameters to those selected in the table.

Text to Audio Morse Code Converter

The "Play" button will play the selected file regardless. The minimum measurable frequency is 0Hz and the maximum in this web browser is Hz half the sampling rate of Hz. You can select the FFT size in the form: You can zoom in on a frequency range by adjusting the minimum and maximum frequencies.

By adjusting the minimum and maximum volumes you may be able to filter out unwanted background noise for instance, try increasing the minimum volume to dB. The live spectrogram below is showing the quantised frequencies from Hz at the bottom to Hz at the top. The pink region highlights the area that is being analysed see below.

Time progresses left to right. We need to extract the Morse code signal tones from the sound entering the microphone. Hopefully the Morse tones will be the loudest sounds being received.

Here we plot the average volume in each frequency bin over time. The chart is only displayed when the sound stops because otherwise it slows down the sound processing. The frequency range with the maximum average volume of is Hz frequency bin number. We need to set a frequency range to filter the frequency-domain data i. We also need to set a threshold volume above which we take to mean that a signal is present.

Use the button to automatically select the frequency range with the maximum average volume and to use the average volume in that range as the threshold you may find a higher volume works better though.

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The actual quantised frequency band which includes all of the specified range is - Hz frequency bins of size Hz and is highlighted in pink on the spectrogram above. The volume threshold is of Given the cleaned up signal above we now need to take the timings of the "ons" and "offs", translate into dits and dahs and finally into text.