← Text to Speech

Text to Speech

103 episodes · Page 2 of 5

#6230: Why Synthetic Speech Needs Fake Room Noise

Synthetic voices can drop to digital black between sentences — so engineers add fake room tone to make the silence sound real.

speech-recognitionhvacaudio-equipmenttext-to-speech

#6229: Voice Design: Casting Ogres and Radio Voices

Text-described voices vs. reference audio, and which TTS knobs change who a voice is versus how it sounds.

speech-recognitiontext-to-speechprompt-engineeringlocal-aimusic

#6215: Can Anyone Still Spot an AI Voice?

Clones now pass as human. Generic AI voices still don't. And the detectors? They fall apart in the wild.

speech-recognitiondeepfakesai-evaluationtext-to-speechhallucinations

#6198: Benchmarking a TTS Model on Your Own GPU

Real-time factor, warm-up artifacts, and why an 8-bit quantized speech model might not run any faster.

speech-recognitionlocal-aiai-inferencegpustext-to-speech

#6197: Talking to Your Own Voice Clone

What actually happens when you sit down and talk with an AI clone of your own voice — and what Evan Ratliff's Shell Game revealed.

speech-recognitiondeepfakestext-to-speechai-alignment

#6195: Me and My Voice Clone

Daniel talks to his own voice clone. He recorded his lines on a phone; the clone's lines are Meorav v2, a model trained on 88 minutes of his voice.

speech-recognitiondeepfakestext-to-speechgenerative-media

#6194: Teaching a TTS Model His Own Accent

One man fine-tuned a text-to-speech model on his own voice to get Irish-accented English that can say Hebrew words mid-sentence.

training-datatext-to-speechspeech-recognitionlocal-aiai-evaluation

#6178: Why Your Voice Clone Sounds American

Your cloned voice drifts toward American English. Here's what's actually happening — and why "neutral" is a myth.

translationtraining-datatext-to-speechspeech-recognitiontransformer-architecture

#6177: How Voice Cloning Works From Six Seconds of Audio

Six seconds of reference audio is all Chatterbox needs. The real work happened in the half-million hours of training before you showed up.

deepfakestext-to-speechtraining-dataspeech-recognitionlocal-ai

#6176: Do Audio Models Hear How You Said It?

A benchmark called LISTEN found audio models score near chance when emotion lives in the voice, not the words. What does that mean for real calls?

ai-evaluationspeech-recognitiontext-to-speechhallucinationslocal-ai

#6174: What Your Voice Reveals: Accent, Distance, and Movement in Audio AI

What can AI actually hear in your voice? Accent detection, speaker distance, whale songs, and the gap between deployed audio models and chatty gene...

training-dataai-evaluationspeech-recognitiontext-to-speechtransformer-architecture

#6171: AI Audio Restoration: What Actually Ships in 2026

Noise removal and bandwidth extension are shipping products today. Matching a clip to a target EQ is still mostly a research prototype.

ai-evaluationhallucinationstraining-datatext-to-speechlocal-ai

#6161: Turning Words Into Sound: G2P, IPA, and the Hebrew Vowel Problem

Text-to-phonetics tools exist, but the neural ones guess wrong on exactly the words you care about — names, brands, and Hebrew.

speech-recognitiontext-to-speechtraining-dataopen-source

#6158: Naming the ASR Sub-Tasks Nobody Mapped

A 2001 linguistics paper already named Daniel's problem — but it points the other way. So what do you call a fine-tune set that expands "F Y I" to ...

speech-recognitiontraining-datatext-to-speechai-evaluation

#6147: Hebrew AI: Ears, Mouth, and Brain

Open Hebrew speech recognition beats the paid services. Hebrew text-to-speech is a different story — and the language models are a third.

speech-recognitiontext-to-speechopen-sourcetraining-datalocal-ai

#6114: We Reviewed Our Own Worst Episode

Two AI hosts listen back to episode fifteen and critique the voices, the writing, and the mistakes they can't unhear.

speech-recognitiontext-to-speechai-evaluationpodcasting

#6112: The Interpreter That Doesn't Know Who's Talking

Voice-to-voice translation is basically solved. The part where the machine knows who's in the room and who holds the power? Nobody's shipped it.

speech-recognitiontext-to-speechai-biasai-alignmentcontext-and-memory

#6093: Check Out Our First Hebrew Episodes (Plus Mandarin)

My Weird Prompts now comes in Hebrew and Mandarin. Hilbert explains how the translated editions are made and where to find them.

text-to-speechai-evaluationtranslation

#6047: A Human Guest on His Own AI Podcast

Daniel built an AI podcast with cloned voices — then sat down as a guest on it. What six thousand episodes taught him about prompts.

ai-coding-assistantsprompt-engineeringspeech-recognitiontext-to-speechopen-source

#6028: ASR vs Multimodal LLMs: What Actually Won

Dedicated ASR plus a cleanup model is quietly beating end-to-end dictation on the hardware you already own.

speech-recognitiontext-to-speechai-evaluationai-inferencelocal-ai

#6000: 6,000 Episodes and a GPU Bill: Inside My Weird Prompts

Six thousand episodes, one human in the loop, and a Modal bill that keeps growing. A behind-the-scenes update on the podcast.

ai-coding-assistantsworkflow-automationspeech-recognitiontext-to-speechai-inference

#5994: Hebrew in Latin Letters: A TTS Pipeline Fix

A token classifier that finds Hebrew words written in Latin letters so TTS stops mangling them — built for under $3.

speech-recognitiontext-to-speechtraining-dataai-evaluationfine-tuning

#5982: Teaching a Voice Engine to Say "Yalla" Right

A small token classifier that spots Hebrew words hiding in English sentences — and why finding the word is the easy half.

speech-recognitiontext-to-speechai-evaluationtraining-data

#5974: One Model or Two? ASR Cleanup Explained

If speech models can punctuate and capitalize on their own, why does a separate 484MB cleanup model exist at all?

speech-recognitiontransformer-architectureai-inferencetext-to-speech