Fwiw, I believe you can command (voice or routine) speakers to play white noise for X period of time - "Hey Google, play white noise for 12 hours.". Though this may be broken as of late and/or change from day to day as other functions have recently.

I know there were some complaints surrounding white noise earlier this year and it was apparently fixed. However, my Mini is on the latest firmware (I checked) and after 1 hour, white noise stops playing. Am I setting it up wrong? How can I get it to continue looping for the 12 hours it's supposed to?


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After it stopped rather than starting the routine again and potentially waking the baby I just cast the playlist from my phone and went back sleep. Again a few hours later I woke up and it was off again.

To be able to cast to manage the other Spotify account I set up the Shelter app on my phone so I can have two different Spotify apps. I don't think this is causing the issue because when I got up at 3 this morning to go to work I had music playing on my primary account on my drive and even at work. I could see on my secondary account the white noise was still playing and connected to the speaker and confirmed by my wife.

For more ways to find peace and quiet, see our guides to the best earplugs for sleeping, the best noise-cancelling headphones, and the best sleep headphones. We also have guidance on using a white noise machine for a baby.

To learn what features to look for in white noise machines, we spoke with Michael Perlis, PhD, director of the behavioral sleep medicine program at the University of Pennsylvania Perelman School of Medicine whose work includes studying the use of white noise machines in treating insomnia. We also interviewed UPenn scientist Mathias Basner, MD, PhD, a professor of sleep and chronobiology in the department of psychiatry who co-authored a clinical review of studies on the use of white noise as a sleep aid, as well as Stanford University sleep researcher Rafael Pelayo, MD, author of How to Sleep: The New Science-Based Solutions for Sleeping Through the Night and a medical consultant to Adaptive Sound Technologies Inc. (ASTI), the maker of two of our picks, the LectroFan EVO and the Sound+Sleep. To understand how noises mask each other, we spent hours talking on the phone and emailing with Stphane Pigeon, PhD, a sound engineer specializing in white noise and the creator of myNoise, our favorite white noise app.

We first tested white noise machines in 2016. After considering nine devices, supervising editor Courtney Schley zeroed in on six for further evaluation, including three white noise machines made by Yogasleep (formerly Marpac): the Dohm Classic (then called the Dohm DS), the Rohm, and the Hushh. She also tested the ASTI LectroFan Classic, the HoMedics Deep Sleep II, and the Sleep Easy Sound Conditioner.

As is expected with white noise machines that generate sounds from a single physical fan, the Dohm is more limited in its masking capabilities compared with its digital counterparts. While it masked softer noises like the freeway traffic as well as the LectroFan EVO when behind a closed door, sounds such as barking dogs or talking people required higher volume just to blur the noise, let alone completely mask it.

Despite costing $10 less than the Dohm, the Yogasleep Whish seemed like it would be a logical upgrade. It offers a wide range of sounds, including six fans, two white noise options, and eight nature noises. Each is clearly marked and easy to access with the press of a button. However, the response is delayed and the buttons are crowded, making it a challenge to find what you need in the dark. The noises also sound harsh and synthetic, particularly compared with the Dohm.

Inhabiting myself has consequences. As I prepare to go to sleep, I arrange my surroundings with care. First, I turn on the big white box fan, positioning it so the airflow is parallel to my body (its low-pitch hum masks cars-stopping-at-stop-sign sounds). Then I roll earplugs between my fingers and slot them into my ears. Finally, I play white noise through noise-cancelling headphones that go over the earplugs, artfully arranging a blanket around the bulky headphones so I can sleep on my side.

Through the years, I have become a student of my insomnia. I am attuned to fine-grained distinctions between the haze of two, four, or six hours of sleep. Through observation, I have formulated rules that I wrap around myself like an extra blanket (things will improve once you just get through the morning; time can banish even seemingly immortal insomnia spells). And, staring at the fuzzy green lights inside my eyelids, I have devoted much thought to why being awake right now is unpleasant.

And maybe there is a way to fit these pieces of myself together. Even if fatigue has material consequences, even if I keep waging my campaign against noise, maybe I can stop trying to cut my insomnia out from my being.

Was this why I found white noise so comforting, all this time later? I could see baby-me, bundled up in a stroller in the supermarket, unable to sleep because all the shopping-cart-rolling noises were aimed at her ears. I could see her parents driving her home and refilling her head with the ocean as she drifted off, baby-drool oozing from her mouth.

a random signal is considered "white noise" if it is observed to have a flat spectrum over the range of frequencies that is relevant to the context. For an audio signal, for example, the relevant range is the band of audible sound frequencies, between 20 to 20,000 Hz.

I know I could download one with youtube-dl from one of the many videos out there but copyright aside, frequency compression is horrible online I want full-white-frequency goodness. If such a thing actually exists. Plus I'm a glutton for punishment and I believe that if something can be done via the command line, that's the way we should be doing it. That's how I aim to raise this one anyway.

So we have things like /dev/urandom and paplay. Is there a sensible way to take random data and channel it into the audible range of white noise and out of my speakers? Answers that write to file are okay too. The important thing is a steady range-confined sample. No squawks.

This command first generates and mixes brown noise and pink noise, which I find to be the most comfortable and natural noise. Then it generates a sine wave of 0.3 Hz with an offset of 10% and uses this to modulate the amplitude of our mixed noises to produce the sound of ocean waves.

Timer:

You can add a timer and limit the playback duration by specifying the number of seconds, the number of minutes and seconds (mm:ss) or the number of hours, minutes and seconds (hh:mm:ss) right before brownnoise. Here's an example for one hour:

Minimum background noise volume:

The sine that is used for amplitude modulation got shifted to an offset of 10%, so the brown-pink noise will always be played with at least 10% volume. If you want a stronger or weaker background noise, increase or decrease this offset to your needs. Here's an example with 20% background noise:

Tom Swiss of unreasonable.org uses the following code (using sox) to generate white/pink noise. You'll need to first install sox (sudo apt install sox), then create a shell script with the following code:

White noise is mathematically an even distribution of frequencies. You can produce it with random data from /dev/random or /dev/urandom. If you want to change the "tone" of the produced noise (for example to make it less "weighty" by removing lower frequencies, or to make it "damper" by removing higher frequencies) then you could use a command such as dd bs=1 if=/dev/urandom of=whitenoise.raw count=1048576 to generate some white noise, then import it into Audacity and use the high-pass and low-pass filters to adjust it to your liking (when using the filters remember that the average human ear will hear frequencies up to 20kHz).

There's also Renoise, a very powerful multi-platform audio sequencer, though the full version is commercial. The demo version however doesn't have many limitations, and will let you do what you want, and add filters, effects, etc. to the generated sound.

A peculiar type of podcast has found a huge footing on Spotify, amounting to what the platform says totals tens of millions of dollars in lost profit: entire episodes of white noise, seemingly aimed at listeners who are asleep.

The problem is that white noise isn't very profitable. Spotify makes the most money by pushing customers to its paid music subscriptions, an important revenue stream for a company that relies on razor-thin margins.

Once Spotify started spending time making sense of the data, it concluded that shifting users away from white noise programming could net the company an additional $38 million in profit, according to document obtained by Bloomberg.

Meanwhile, users have noticed how some of their white noise podcasts have mysteriously vanished. One white noise podcaster also told Bloomberg that some of his episodes have disappeared without warning.

White noise has already stirred considerable controversy in the music industry. Execs at major record labels have complained that tracks by reputable artists are being assigned the same value as those uploading just noise.

And so it is that an automated filter matched part of ten hours of white noise to, in one case, two different other white noise videos owned by the same company and resulted in Tomczak getting copyright notices.

Scaler 2 demo noise that occurs every so often and is not loud but fades in and out is normal and not associated with the bug which was causing very LOUD noises. We need to protect the demo somehow and nice noise every so often is our best way. It should still allow you to try things out. Pretty common demo limitation to be fair.

The music streaming juggernaut is cutting out white-noise podcasters from its lucrative Ambassador Ads program, which pays podcasts to read ads on air, starting in October, according to a report from Bloomberg. The streaming company is also requiring other podcasters to have 1,000 unique Spotify listeners, up from 100, over the past 60 days, to be eligible for the advertising program, Bloomberg says. ff782bc1db

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