---
title: "How to pronounce \"speech recognition\" in English | SayItVid"
description: "Learn how to say \"speech recognition\" correctly. Watch real-life video examples and master your English pronunciation with SayItVid."
image: "https://img.youtube.com/vi/pIgbu9Q0PfQ/hqdefault.jpg"
url: "https://sayitvid.com/pronounce/speech-recognition"
---


# How to pronounce "speech recognition" in English

## Pronunciation & Phonetics

- **IPA**: `/spɪːtʃrɛkɒgnɪʃən/`
- **Syllable Breakdown**: **speec·hre·co·gni·ti·on**

## Real-Life Native Speaker Examples (15 Video Clips)

Listen to native speakers pronounce "speech recognition" in real conversation:

### Example 1
> "Speech recognition software was for people with disabilities primarily."
- **Watch at 20:10**: [YouTube](https://www.youtube.com/watch?v=pIgbu9Q0PfQ&t=1210s)

### Example 2
> "speech recognition, speech synthesis, character recognition."
- **Watch at 34:24**: [YouTube](https://www.youtube.com/watch?v=zihTWh5i2C4&t=2064s)

### Example 3
> "So there are three things that changed that make these improvements faster. Speech recognition became near a human level. Language models became conversational, and computing power allows it all to be real-time."
- **Watch at 4:26**: [YouTube](https://www.youtube.com/watch?v=VPpuQoWmMwk&t=266s)

### Example 4
> "have the potentially need for the human intelligence analytical planning elements in the same on the speech recognition side your intuition that speech recognition and the machine learning approaches to speech recognition won't take us to a conversational system that can pass the Turing test which is sort of maybe akin to what driving is so it needs to have"
- **Watch at 11:05**: [YouTube](https://www.youtube.com/watch?v=cQ48rP_Rs4g&t=665s)

### Example 5
> "descent to try to find a program that is running on these recurrent networks such that it can or some interesting problems such as speech recognition machine translation and something like that and there is very little theory behind the best solutions that we have at the moment that can do that do you think that needs to change you think that world change or can we go can we create a general intelligence systems"
- **Watch at 12:56**: [YouTube](https://www.youtube.com/watch?v=3FIo6evmweo&t=776s)

### Example 6
> "parts of that memory are dated they are pretty old and so when you're doing speech recognition for example and somebody says eleven then that's about half a second or something like that which means it's already fifty-eight time steps and another guy or the same guy says seven so the ending is the same"
- **Watch at 47:56**: [YouTube](https://www.youtube.com/watch?v=3FIo6evmweo&t=2876s)

### Example 7
> "word learn to look back for more than 10 million steps so for most problems of speech recognition it's not necessary to look that far back but there are examples where it does now so looking back thing that's rather easy because there is only one past but there are many possible futures and so a reinforcement learning"
- **Watch at 50:58**: [YouTube](https://www.youtube.com/watch?v=3FIo6evmweo&t=3058s)

### Example 8
> "level performance it may be not necessary to do this for a particular problem you're trying to solve so maybe we can you know get away with doing speech recognition without really understanding of the meaning of the words probably that's going to be okay but for other tasks especially those involving language I think having models that actually understand how the world"
- **Watch at 53:46**: [YouTube](https://www.youtube.com/watch?v=11rsu_WwZTc&t=3226s)

### Example 9
> "drop it right in that's great but it's also really hard to get working well if you start from scratch with this system and you have no experience in speech recognition it's actually quite confusing and hard to debug it's very difficult to know which of these various models is the one that's behind your error and especially once we start dealing with things like accents heavy noise different kinds of ambiguity that makes the problem even harder to"
- **Watch at 9:46**: [YouTube](https://www.youtube.com/watch?v=g-sndkf7mCs&t=586s)

### Example 10
> "look at this output and say yeah it's starting to get some actual signal out of the data it's not just gobbledygook so because this is like my favorite speech recognition party game I wanted to show you a few more of these so here's the max decoded output the poor little things cried Cynthia think of them having been turned to the wall all these years so you can hear like the sound of the breath at the end turns into a little bit of a word"
- **Watch at 48:07**: [YouTube](https://www.youtube.com/watch?v=g-sndkf7mCs&t=2887s)


## How to Pronounce "speech recognition"

- **Syllables**: speec · hre · co · gni · ti · on
- **IPA**: `/spɪːtʃrɛkɒgnɪʃən/`
- **Listen for**: the stressed syllable in the clips above — notice how surrounding sounds blend in natural speech.

## Related Pronunciations

[speech](https://sayitvid.com/pronounce/speech), [recognition](https://sayitvid.com/pronounce/recognition)

## Frequently Asked Questions

### How do you pronounce “speech recognition”?
“speech recognition” is pronounced /spɪːtʃrɛkɒgnɪʃən/ (speec · hre · co · gni · ti · on). Listen to the native-speaker clips above to hear it in real conversation.

### How many syllables are in “speech recognition”?
“speech recognition” has 6 syllables: speec · hre · co · gni · ti · on.

### How can I hear “speech recognition” used in real sentences?
This page has 15 real-world video examples of “speech recognition” with synchronized subtitles. Use Previous / Next (or ← / → keys) to hear each one at the exact moment it is spoken.


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