Brombo,
You are using AI tool as a search engine aggregator. The response any AI tool gives you based upon the questions we ask. Often, such questions are very comprehensive and details.
Since you are giving so much importance to measurements, I slightly changed your question. Here is the interaction:
In audio, why are there often discrepancies between objective measurements and subjective listening impressions?
In audio, there are several well-known areas where objective measurements (things like frequency response, total harmonic distortion, noise levels, etc.) don’t always line up neatly with subjective listening impressions (how people actually perceive sound). Here are the main ones:
1. Frequency Response vs. Perceived Tonality Measurement: A flat frequency response is often considered “ideal.” Listening: Many listeners actually prefer a slightly “colored” response — for example, a gentle bass boost (the “loudness” curve) or a warmer midrange. Our ears are not equally sensitive across all frequencies (see the Fletcher–Munson curves), so a ruler-flat line may not sound natural.
2. Distortion (THD) vs. Musical Pleasantness Measurement: Total Harmonic Distortion (THD) quantifies added harmonics as a percentage. Lower is “better” on paper. Listening: Some types of distortion (especially low-order harmonics, like 2nd and 3rd) can sound warm, rich, or even pleasing (e.g., tube amplifiers). Meanwhile, small amounts of high-order distortion may measure “better” but sound harsher.
3. Dynamic Range & Compression Measurement: Greater dynamic range is objectively better in preserving quiet-to-loud detail. Listening: In casual environments (cars, earbuds, background listening), heavily compressed audio often “sounds better” because quiet passages don’t get lost. This is one reason behind the so-called loudness wars.
4. Noise Floor Measurement: Signal-to-Noise Ratio (SNR) and noise floor are precise numbers. Listening: Once noise is below a certain threshold (e.g., -80 dB), most people can’t perceive it. Extra improvements in measurement (-110 dB vs. -120 dB) may have no audible difference.
5. Specs vs. Real-World Listening Measurement: Specs like “20 Hz – 20 kHz ±0.5 dB” or “0.001% THD” suggest perfection. Listening: Room acoustics, speaker placement, psychoacoustics, and listener bias play a much larger role in the actual impression than these lab numbers.
6. Phase and Time Alignment Measurement: Phase distortion, group delay, or impulse response irregularities can be measured. Listening: Many listeners won’t notice unless the issues are severe, while others may describe subtle timing errors as a “lack of coherence” or “smear” even when distortion figures look fine.
7. Subjectivity and Expectation Bias Measurement: Two devices with nearly identical measured performance may measure “transparently.” Listening: People’s expectations, aesthetics (e.g., tube glow, brand reputation), and even sighted vs. blind testing can radically change impressions.
✅ Bottom line: Objective metrics are crucial for engineering and consistency, but human perception is non-linear, context-dependent, and shaped by bias. That’s why high-end audio often debates measurements vs. “what sounds good.”
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