You know Sean let me take the gloves off.
I hope you mean that figuratively
. We want to have a respected discussion, not one that is personal. Let's stay on the topic rather the person and their motives. BTW, the fact that someone works for a company for a living, doesn't automatically invalidate what they have to say unless we can challenge the information on its merits.
I think what you really do is not advance the state of the art. What you actually do is try to see how low you can go and have the general public still buy it.
In what way using expert listeners as Sean said they use to evaluate audio systems is for "general public" to buy something? The expert listeners I have worked with are able to outdo most audiophile in how they are able to discern flaws in audio systems. They go through special training which allows them to hear things that some of the best audiophiles often miss.
Fancy terms like "lossless data versus compressed data " don't mislead the careful examiner.
??? Lossless compression means using a compression format for ripping the content where the source can be reproduced perfectly such as using FLAC or WMA Lossless. [Lossy] compressed means format such as MP3 which lose fidelity in the process of compressing audio. In what way using those terms is misleading? He is using standard terminology which is not only clearly understood in the industry but also by enthusiasts just the same.
The fact of the matter is we can know what a trumpet sounds like. Different quality trumpets may have different sounds.
I don't know how these two sentences are consistent with each other.
A recorded trumpet should still sound like a trumpet when it is played back. If we really want to know how it sounds we can have the trumpeter stand there and play the trumpet while listen to whatever media your are trying to sell to the public or evaluate for your employer. Then you can compare live vs whatever media you desire.
How do you do that with music you buy from some place? That is the point Sean is making. He said that most recordings we listen to are not only the result of what the live instrument sounds like by itself, but how it sounded in the recording *room* which added many other characteristic. It was that sound that was heard, QE'ed and adjusted by the recording engineer and based on feedback from the talent, that was put on the media. And unfortunately, there is no way for us to ever know what they really heard as no metadata was captured to tell us that. And trying to match the sound of a live trumpet would do you no good at all because that is also arbitrary and at any rate, is not what the two people above attempted to record.
Is your goal in audio reproduction to create your own sound or that the talent intended for you to hear?
I think what you mean by "lossless data" is the original untreated recording something like if you recorded directly to a Master Tape.
That is not what I understood him to mean. He used the term in two contexts:
1. Lossless as opposite of lossy compression. I.e. WMA Lossless/Flac as opposed to MP3
2. Compressed dynamics where the average loudness level is increased as in typical pop music releases today.
Finally I assure you that that "preference and fidelity" by definition are not the same thing. I find at really amazing that that those who are willing to dismiss as a subjectivist is willing to make decisions on listener preference. Especially when IMO the are choosing from inferior options.
No offense intended.
So are you saying that accuracy is less important than personal preference for a sound? 'cause that is what I am understanding Sean to mean by his terminology. Fidelity = trueness to the source. Preference = liking something whether it is or isn't the same as the original.
Also, Sean didn't dismiss anyone. He said that when they look at the scores for fidelity vs preference they seem to track together. That is, people tend to like more accurate sound not less. If there is data to the contrary and is the view of audiophiles that less accurate sound is better, I am sure both he and I would love to see that data
.