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Looking for recommendations on good software for recording high-quality podcasts - what options are out there and what are your experiences?

The human ear can detect sounds up to 20,000 Hz, but most podcast recording software record at 44.1 kHz or 48 kHz, which is more than sufficient for human hearing.

Local recording software allows for higher quality recordings by reducing latency and ensuring that the recording is stored locally, rather than relying on internet connectivity.

Adobe Audition, a popular podcast recording software, was previously known as Cool Edit Pro before being acquired by Adobe in 2003.

Audacity, a free and open-source audio recording and editing software, has been downloaded over 100 million times since its release in 2000.

The science behind sound waves: sound waves have frequency, amplitude, and wavelength, with frequency affecting pitch and amplitude affecting loudness.

Most podcast recording software can handle high-resolution recording, but choosing software that records 48 kHz audio is recommended for the best results.

The 720p HD video resolution is considered the minimum for high-quality video recording, while 1080p or 4K is recommended for high-end video recordings.

The human brain can process audio and video information separately, making it possible to edit audio and video independently.

AI-powered podcasting suites like Descript use artificial intelligence to help creators record, edit, and fine-tune their podcast from a single dashboard.

Local recording software like Riverside.fm records audio and video locally, allowing for higher quality recordings and reducing the risk of internet connectivity issues.

The science behind audio editing: digital audio workstations (DAWs) use algorithms to process and manipulate audio signals, allowing for editing and effects like overdub and filler word removal.

Podbean, a podcast hosting platform, also offers recording and editing features, including more than 50 background music tracks and sound effects.

The Nyquist-Shannon sampling theorem explains why recordings at 44.1 kHz or 48 kHz are sufficient for human hearing, as they capture the entire range of audible frequencies.

Audio compression, a common feature in podcast recording software, reduces the dynamic range of audio signals to improve overall loudness and clarity.

The human ear can detect differences in audio frequency response as small as 0.5 Hz, making high-quality audio recording equipment crucial for podcasting.

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