Urgent.News

What's breaking now, across thousands of outlets.

Tech

The Amazon Fire TV Stick setting you should try for better audio

Dialogue is an important part of any movie or TV show, but it isn't always as clear as we would like. Amazon's Fire TV Stick has a solution.

The Amazon Fire TV Stick setting you should try for better audio

When watching movies or TV shows on your Fire TV Stick, you may experience difficulty understanding the dialogue due to the increasing trend of modern microphones capturing softer, more natural-sounding performances. This can lead to unclear speech mixed in with loud action scenes. To improve the audio experience, consider enabling the Dialogue Boost feature.

This function, available on Amazon Fire TV devices, enhances speech clarity without increasing the overall volume. It works by using AI models trained on extensive speech data to separate voices from background sounds, adjusting the audio mix accordingly. The feature comes in several levels - Low, Medium, High, Enhanced, and Heightened - allowing you to choose the appropriate setting based on the genre of the content you are watching.

For action-packed films or fast-paced dramas, a higher level of dialogue enhancement may be necessary. While this feature debuted for Prime Video subscribers in 2022, it has since been expanded to work with various streaming services. Moreover, similar voice enhancement capabilities are available on other modern TVs and soundbars, such as Samsung soundbars' Voice Enhance mode.

To further improve dialogue clarity, you can also utilize your TV or soundbar's Night Mode setting, which reduces loud sound effects while boosting quieter segments of the audio.

Written by urgent.news from Engadget's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at engadget.com →

More in Tech

Ghost in the Machine

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine What I Built TouchGrass AI is a purpose-built micro-expedition application designed around one strict…

Rutba Vision: video surveillance for camera networks past the size one recorder copes with

First published on rutba.io . A handful of cameras is a product you buy. A hundred and fifty, writing terabytes a day, is an operations problem, and it fails the same ways each time.

  • Rutba Vision handles large camera networks without single recorder limitations
  • Software runs node agents on all machines for edge, analysis, and core roles
  • Footage recorded in self-contained fMP4 segments with SHA-256 hashing

Count transcript tags in a podcast RSS feed

Five of eight AI podcasts in a June 11, 2026 feed audit declared zero transcripts in RSS. Across the 2,148 items those feeds served, 190 carried at least one podcast:transcript tag (8.8%).

  • Five out of eight AI podcasts had no transcripts in their RSS feeds
  • 190 items out of 2,148 contained a podcast:transcript tag
  • Chain of Thought had the highest transcript coverage at 98.4%

The Measurement I Kept Skipping

For months my test notes had a gap I could not see: I always measured the device at the moment it looked most interesting.

  • Fixed mark used 12 minutes after each scene ends
  • Notes became less dramatic and more reliable
  • Battery drain explained with consistent measurements

More from Saturday 31 October →