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What is the meaning of "gibberish at the end of my narrations"?

The gibberish audio at the end of narrations is likely caused by a bug or glitch in the text-to-speech (TTS) system being used.

TTS engines sometimes struggle to cleanly transition between the intended speech and the end of the audio file.

This issue has been reported by users on various online forums, suggesting it is a relatively common problem, particularly with AI-powered TTS services.

The Sims-like gibberish sound is likely the result of the TTS system attempting to continue generating audio past the end of the input text, producing unintelligible sounds.

Researchers believe this may be due to the way TTS models are trained - they are optimized to generate coherent speech, but may not handle the transition to silence cleanly.

Some users have reported that the gibberish can sound like the text being played in reverse, which could indicate the TTS system is trying to "recover" from the abrupt ending.

The duration of the gibberish, typically 1-3 seconds, suggests it is a relatively short artifact added to the end of the narration, rather than a more significant glitch.

This issue is not limited to any single TTS provider or platform, and has been observed across various AI-powered speech generation services.

Potential solutions may involve adjusting the TTS system's parameters or implementing custom audio processing to cleanly end the narration without the unwanted gibberish.

The prevalence of this problem highlights the ongoing challenges in developing robust and reliable TTS technology, especially for complex or dynamic audio applications.

While the gibberish may be a minor annoyance, it underscores the need for continued advancements in TTS systems to provide seamless and natural-sounding speech output.

Researchers are exploring techniques like neural networks and transfer learning to improve the performance and reliability of TTS models, which could help mitigate issues like the gibberish at the end of narrations.

In the meantime, users experiencing this problem may need to rely on manual audio editing or work with their TTS provider to identify and implement workarounds.

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