MorseDecoder vs Morse Decoder AI

The HotPaw Morse Code Decoder translates Morse Code sound into text. Just use the microphone or headset input on your iPhone or iPad for the audio signal input, and watch decoded text appear. The Morse Code Decoder includes both an automatic decoding mode, plus manual controls to allow the decoding of weaker signals in noise and QRM. Manually adjustable parameters include the frequency of the audio filter, the WPM dot/dash speed used for detecting characters, the threshold level of background noise, and whether Farnsworth timing is to be used for detecting spaces between individual characters. The Morse Code Decoder includes a built-in spectrogram to help determine the audio frequency of the Morse Code tones. Use the optional narrow-band DSP audio filter to help filter out background noise. The audio filter works for tone frequencies from 300 to 2400 Hz. Please do not try to decode tones outside this range. The Morse code WPM (words per minute) detection speed is automatically adaptive from about 8 to 40 WPM, and can be locked to the current estimated WPM dot speed. You can also manually set the WPM code speed if the automatic speed detection guesses incorrectly. A QRQ High Speed WPM mode setting allows decoding much higher WPM speeds in the range of 30 to 80 WPM. Please aim your iPhone microphone at the Morse Code sound source so that the iPhone's noise cancelling microphone doesn't cancel it out. You can see if sound is getting to the iPhone by seeing a peak in the spectrum display. Please use the manual settings if automatic decoding does not adjust to the frequency, WPM. or background noise threshold level properly. Decoding will not work if the audio filter or WPM are set incorrectly, or there is a lot of background noise or room echoes above the threshold setting. Please see the help file on the HotPaw website for hints as to how to solve decoding issues.

The Morse Decoder AI is an application for decoding Morse code signals using artificial intelligence. The application is designed for use by amateur radio enthusiasts for educational purposes. The Morse decoder listens to the audio stream through the microphone or line input and, upon detecting Morse code signals, decodes them into text. The neural network of the application is trained to decode signals with a speed ranging from 10 to 40 words per minute within a frequency range of 200 Hz to 900 Hz. The application supports two modes of operation: direct (default) and tone filtering mode. In direct mode, the neural network will attempt to decipher Morse code signals in the audio range of 250 Hz to 900 Hz. This mode is suitable for confident reception of Morse code at levels of 7db-9db on the S-meter. The tone filtering mode is ideal for decoding Morse code from noisy weak signals in the presence of radio interference. The audio input signal is first filtered using band-pass filters before being passed to the neural network for decoding. This mode allows for the decoding of faint signals, but it requires the accurate specification of the signal's tone frequency. Each radio amateur selects their own CW tone frequency in the transceiver settings, and it is important to tune precisely to the carrier frequency using the ZIN/SPOT button in YAESU transceivers, or the AUTOTUNE button in ICOM transceivers. There are 3 band-pass filter options available: 25Hz, 50Hz, 150Hz. If you can accurately determine the CW signal tone frequency, using the 25Hz filter, you can decode very faint Morse code signals. The application offers two neural network options: A and B, which can be easily switched in the interface. Network A is recommended for use with stable signal transmission with a constant duration of dots and dashes, while network B is recommended when using a straight key, where the duration of dots and dashes may vary. You have the ability to switch between these networks in real time and observe how each network hears and decodes Morse code. It is important to monitor the level of the incoming audio signal, for which the application provides a sound level indicator. Ensure that the signal is not too quiet or too loud. It is recommended to maintain the signal around -7db, which is sufficient for decoding. Keep in mind that higher audio frequencies are quieter than lower frequencies. Additionally, the application provides various color themes, allowing radio enthusiasts to customize the appearance of the application for comfortable use.