I have absolutely no experience with this field but have been trying to analyze some audio files where someone broke into my house (long explanation follows but can be skipped; more included because people seem to usually think I'm having a mental health episode until I explain the whole thing).
I have contacted the police; they aren't doing anything at all. And at one point, for some reason, they sent me a whole thing of internal messages where they were talking amongst themselves about how I'm crazy and how they're having to "deal with me". One summarized everything I've sent them except didn't include...basically any of the evidence I've sent them, and based on the conversations, it's pretty clear that none of them ever seem to have actually looked at it. I'm hoping maybe if I can resubmit a concise and inarguable set of evidence maybe someone will take a look because I can't keep doing this.
In at least one of them, the person who broke in (very persistent stalker) says something. I've messed around with a copy of the file in Audacity and most of it is super clear, but there's one part that's kind of overridden by something they're doing - a bunch of noise at a fairly similar volume. I'm hoping to isolate that specific section because I'm pretty sure it would make it super clear how exactly this person has been able to keep getting into my accounts (email, iCloud, social media, they signed my phone number up for Signal, Verizon confirmed that someone was forwarding my calls at one point but said I'd need a subpoena to get any more info, this person did some credit card fraud - I submitted all of this to the police - they do not seem to care).
Would anyone have advice on separating kind of loud clattering noises from speech noises when both are the same volume? And - in an audio where it seems like this person tried to manipulate it because the sound almost completely cuts out for a few seconds and then there's some barely-audible speech going on as it fades back in - how likely is it to be able to work out what's being said in that case, when there's no background noise but it's like almost all the volume was taken out? Is that the kind of thing I could maybe share with someone who would be willing to help? To be direct - the situation has seen me move states and also replace all my devices (some more than once) and money is extremely tight, and I really can't afford to offer much in terms of compensation.
I created hourly spectrographs for each audio to try and prioritize which ones to work through, and from the looks of some of them (as someone who doesn't know anything about this field besides what I've been googling over the past 2 weeks), some of them seem to have been modified or altered somehow. They were in my iCloud and I do know at this point that this person has gotten into it several times; it also seems pretty likely that they've been able to physically get into my phone during some of the break-ins so I have no idea if something might've happened there, either. But metadata from exiftool looks normal - there are a few where there's exactly a 1-second discrepancy between some of the timestamps, and I'm not sure if that's likely to be a rounding error - it was in 19 audio files out of 200+ (I got a little carried away and was making them all the time) and I feel like a rounding error would make that more common than 19/200? Would the spectrographs be helpful in identifying that sort of thing? I was asking around and some people were responding that they're functionally useless without the underlying audio which is fair - I'm pretty much very against the idea of just posting the audio directly since I'm still hoping that someone might be able to do something and use any of what I've submitted as proof. I don't know what impact it would have if the audio were posted online. Happy to share directly if someone would be willing to help, though. I would want to ask a few questions before sending anything over, though.
Context will be in comments as it seems to be getting this flagged as "spam".
