Introduction to Speech Recognition Systems Through a Tester’s Eyes
summary
An introduction to how speech recognition systems work, covering technologies used in both standalone and cloud-based recognition (including voice assistants). It discusses key functional testing concerns for these products, how they are deployed at enterprise scale, and specific testing aspects to consider.
AI-written summary · about
chapters (11)
- 0:00Speech recognition intro
- 3:39IoT and AR trends
- 10:34Speech engine mechanics
- 16:44Mathematical models
- 21:48Testing speech engines
- 26:43Hardware for accuracy
- 31:45Language patterns
- 36:33Speech defects testing
- 40:24Test design
- 41:28Dictation and editing
- 43:15Traffic optimization
related talks
56mSpeech Recognition: How to Build Speech-to-Text Yourself
37mLoad testing speech synthesis and recognition at SberDevices
06mQ n A with Sohan Maheshwar
35mHaving a Voice on Android: How hard can it be?
36mVoice Enabling Mobile Apps and Custom Hardware Devices
22mOn-Device Speech Recognition for Mobile Devices and Custom Hardware
19mVoice Assistants in Healthcare
16mSpeech Recognition on the Web