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How Is File Size Calculated

Audio File Size Formula:

\[ \text{size (bytes)} = \text{sample\_rate (Hz)} \times \text{duration (s)} \times \text{bit\_depth (bits)} / 8 \times \text{channels} \]

Hz
seconds
bits
channels

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1. What Is Audio File Size Calculation?

Audio file size calculation determines the storage space required for digital audio files based on their technical specifications. Understanding this helps in storage planning and bandwidth estimation for audio streaming.

2. How Does the Calculator Work?

The calculator uses the audio file size formula:

\[ \text{size (bytes)} = \text{sample\_rate (Hz)} \times \text{duration (s)} \times \text{bit\_depth (bits)} / 8 \times \text{channels} \]

Where:

Explanation: The formula calculates the raw PCM audio data size without compression. For compressed formats, the actual file size will be smaller.

3. Importance of File Size Calculation

Details: Accurate file size estimation is crucial for storage planning, bandwidth management, and understanding the trade-offs between audio quality and file size.

4. Using the Calculator

Tips: Enter sample rate in Hz, duration in seconds, bit depth in bits, and number of channels. All values must be positive numbers.

5. Frequently Asked Questions (FAQ)

Q1: Does this formula work for compressed audio formats?
A: No, this formula calculates raw PCM audio size. Compressed formats like MP3, AAC will have smaller file sizes depending on the compression ratio.

Q2: How does sample rate affect file size?
A: Higher sample rates capture more audio detail but increase file size proportionally.

Q3: What's the relationship between bit depth and audio quality?
A: Higher bit depth provides better dynamic range and less quantization noise, but increases file size.

Q4: How do I calculate file size for stereo vs mono?
A: Stereo (2 channels) requires twice the storage space of mono (1 channel) for the same duration and quality settings.

Q5: How can I reduce audio file size?
A: You can reduce sample rate, bit depth, use fewer channels, or apply audio compression algorithms.

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