#audio-processing
45 episodes
#5573: Audio Post-Processing for AI Podcast Pipelines
Silence trimming, loudness normalization, EQ, and tempo fixes — the CLI tools that turn raw TTS output into a finished episode.
#5551: Why Learning Makes Us Happier at Any Age
The credential isn't what makes learning feel good — choosing it is. What the research says about self-directed learning, aging, and hard times.
#5386: Morse Code Between Two Phones: Does It Actually Work?
Two phones, no data, one room. Morse over sound and flashlight — what the research says about echoes, timing, and whether anyone will hear you.
#4919: Parakeet vs Whisper: On-Device Dictation Showdown
NVIDIA Parakeet beats Whisper on phone dictation despite having more parameters. Here's why architecture matters more than model size.
#4840: Is Audio Learning Actually Effective?
We examine the science of audio learning, its real trade-offs, and how to use it strategically.
#4774: When a Token Isn't a Word Anymore
Images, audio, and code all use "tokens" — but they're completely different things. Here's how tokenization actually works across modalities.
#4666: Why 30 Seconds of Audio Beats 3 Minutes for Voice Cloning
Why adding more audio made Daniel's voice clones worse — and what it reveals about how voice embeddings actually work.
#3605: Can You Retain Audio While Doing Dishes?
Does folding laundry while listening to a podcast help or hurt retention? The science is surprisingly clear.
#3097: Measuring Car Horns: Phone Apps vs. Court Evidence
Can a phone spectrogram app prove which car honked? Usually not — here's what you actually need.
#2914: Can AI Read the Room? TTS Prosody Explained
Can TTS models truly infer emotion from text, or just mimic patterns? We break down the science of prosody.
#2886: How Acoustic Cameras Catch Honking Drivers
Can an acoustic camera pinpoint one honk in a traffic jam? The tech is real, and fines are being issued.
#2754: Why Your Dictation Setup Might Be Wrong
Modern ASR is shockingly robust. The biggest predictor of accuracy? How well your audio matches its training data.
#2726: Radio Listening vs Podcast Guilt
Why does podcast listening feel different from radio? A deep dive into attention, multitasking, and the psychology of audio.
#2643: How Stenographers Type 300 Words Per Minute
Court reporters don’t type letters—they chord syllables at 300 words per minute. Here’s how it works and why AI can’t replace them yet.
#2618: Text Normalization's Hidden Complexity
How to handle acronyms in text-to-speech pipelines using BERT models, lexicons, and layered preprocessing.
#2591: Decoupling Script from Voice
How dynamic voice replacement could let listeners choose who narrates each host's lines.
#2590: The Uncanny Valley of Clean Speech
How transformer models distinguish "um" from meaningful speech — and why removing too much makes you sound like a robot.
#2582: What Your Browser Does to Mic Audio Before It Reaches Your Server
getUserMedia returns audio, but not raw audio. Here's what browsers actually do to your mic feed before it hits your server.
#2563: How Audio Fingerprinting Actually Works
Spectrogram peaks, constellation maps, and hash matching — the elegant mechanics behind identifying any song in seconds.
#2512: How Speech-to-Speech Models Eliminate the Robot Voice
Why AI voice agents sound robotic, and how natively integrated speech-to-speech models fix it.
#2498: Build Your First Python Program in 7 Lines
We coach a complete beginner through building a working Python game using only voice—no screenshare, no diagrams.
#2486: Why Noise Reduction Can Ruin Transcription Accuracy
Cleaning audio before transcription can increase errors by up to 46%. Here's the right approach for your voice app.
#2443: How Podcast RSS Feeds Can Speak Every Language
One RSS feed, a transcript tag, and TTS voice cloning — the emerging standard for letting any podcast speak any language.
#2337: When Diarization Fails Silently
Discover how PyAnnote and other tools tackle the critical task of identifying "who spoke when" in audio—and why it’s harder than it sounds.