How Computers Speak: Written Text, Spoken Words, and Speech Engines
How computers rewrite messy writing into words a person would say, then compare offline and neural speech engines on the same sentences
This series walks through how written text becomes spoken audio. You will learn how a speech system is a chain of stages rather than a single box, how dates, money, phone numbers, and abbreviations are rewritten into spoken words, how an offline engine and two neural engines differ in sound and control, how speech is stored and compared, and what a side-by-side listening comparison actually showed.
Episodes
- 1
Written Text Becomes Speech
You type a sentence and a voice reads it back. Discover that a speech system is a chain of stages, and this series starts at the front door: messy writing in, a sound file out.
- 2
From Symbols to Spoken Words
A speech engine reads what you literally give it. Dollar signs, dates, and phone numbers have to become the words a person would actually say, in a careful order.
- 3
Three Engines, Old and New
The same spoken-form sentences go to an offline engine and two neural engines. Listen for privacy, naturalness, and who is allowed to change pitch.
- 4
Storing Speech and Measuring Sound
Every clip is stored the same way on purpose. Sample rate, bit depth, and an uncompressed wave are choices with reasons, and the waveform, frequency content, and loudness of each clip tell you what listening alone can miss.
- 5
What the Comparison Actually Showed
Thirty spoken clips later, the ranking is not a surprise: the neural engines sound more natural. The surprise is why they speak more slowly, and why they still generate faster.
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Burak Gündüz
Creative Coder
- Episodes
- 5
- Cadence
- Weekly
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