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Query: text to speech
Links: 3 | Categories: 0
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This app will give you a 16 tone DTMF keypad and the ability to generate custom DTMF sequences, and set the duration and tone to silence ratio. Includes the characters 1234567890*# and the menu tones ABCD. You may enter a custom sequence via the keypad, soft keyboard, or speech if your device already has speech-to-text capability. This is basically a touch tone telephone keypad, which may be of interest to amateur ham radio repeater operators
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The **HamRacer** voice keyer, a Windows-based application, is showcased in this video, illustrating its utility for radio amateurs participating in SSB contests. It functions as a synthesized PC-based voice keyer, specifically designed for HF and VHF SSB contest operations, allowing operators to transmit pre-recorded or text-to-speech generated messages during rapid-fire exchanges. The demonstration includes actual recorded QSO examples from a contest, featuring contacts with stations such as SP6OWA, S57O, OK1IEI, 9A1DL, OE1PAB, OK1GTH, and 9A1E. These examples highlight the software's practical application in a live contesting environment, demonstrating how it facilitates contest participation for operators who might otherwise face challenges with traditional voice keying. The resource provides a direct look at the software in action, emphasizing its role in promoting inclusivity within the amateur radio contesting community. It details the use of Windows SAPI for speech synthesis, a core component of HamRacer's functionality.
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This software connects to a DMR master using the MMDVM protocol, enabling a ChatGPT-powered AI bot for voice interaction. It comprises a main program (a DMR/D-Star client handling audio via AMBEServer) and a Python script for audio processing via APIs. OpenAI Whisper handles speech recognition, while Google Translate powers text-to-speech, supporting multilingual interaction. Clear, polite questions improve recognition. If silent for over one second, the bot provides local weather, with forecasts available on request. English performs best for recognition accuracy.