PODCAST · fiction
Static
by Inception Point Ai
Vox Umbra reconstructs fragmented nightmares from corrupted recordings where horror hides in the static. Each standalone episode pieces together incomplete audio logs, glitched transmissions, and broken signals, inviting you to decode what's real and what lurks in the silence between frequencies. For more content like this, visit QuietPlease.aiThis show includes AI-generated content.
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Static - Tune into the terror between frequencies with Vox Umbra
Join Vox Umbra as he unearths nightmares hidden within corrupted recordings and fractured transmissions in Static - Fragmented Horror from the Noise. Between the frequencies, something hungry waits in the gaps between signal and silence, and it knows you're listening. Subscribe now.Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTVThis content was created in partnership and with the help of Artificial Intelligence AIThis episode includes AI-generated content.
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Static - Overwrite
Host Vox Umbra explores recovered voice memos from Elena, who recorded childhood memories to preserve them — only to hear them change. Her dog's name shifts. Her mother's face becomes unrecognizable. Background static fills with voices. As her own voice transforms into something unfamiliar, Elena realizes she may not be remembering — she's being overwritten.Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTVThis content was created in partnership and with the help of Artificial Intelligence AIThis episode includes AI-generated content.
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Static - The Relay Station Confession
Vox Umbra explores the chilling case of Eleanor Hartley, a night-shift radio operator at an abandoned relay station who logged transmissions on an impossible frequency—one that answered her questions three seconds before she asked them. Based on recovered logs from 1982, this atmospheric horror examines time, isolation, and the terrifying possibility that some signals relay through us, not to us.Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTVThis content was created in partnership and with the help of Artificial Intelligence AIThis episode includes AI-generated content.
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Static - The Collector's Frequency
Host Vox Umbra unravels the disturbing case of Martin Elric Voss, who vanished after collecting 93 radios—all tuned to static. Through corrupted audio diaries, we follow his descent from hobbyist to obsessive documenter of voices predicting deaths before they happened. When the radios started broadcasting without power and speaking his name, the line between reception and invitation blurred.Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTVThis content was created in partnership and with the help of Artificial Intelligence AIThis episode includes AI-generated content.
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ABOUT THIS SHOW
Vox Umbra reconstructs fragmented nightmares from corrupted recordings where horror hides in the static. Each standalone episode pieces together incomplete audio logs, glitched transmissions, and broken signals, inviting you to decode what's real and what lurks in the silence between frequencies. For more content like this, visit QuietPlease.aiThis show includes AI-generated content.
HOSTED BY
Inception Point Ai
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