Transcription Speech-to-Text
Speech-to-text (ASR) converts audio into text automatically. Used by accessibility teams, content creators, and developers building voice interfaces. Salary: $70-120k junior, $120-180k mid, $180-270k senior. Learn in 3-4 weeks. Adjacent to NLP, audio processing, and machine learning.
Was ist Transcription Speech-to-Text
Speech-to-text (ASR, automatic speech recognition) converts audio recordings into text automatically. Modern ASR models (Whisper, Google Cloud, AWS Transcribe) achieve >95% accuracy on clean audio and can handle multiple languages, accents, and dialects. Applications range from accessibility (captions for deaf users), content creation (podcast transcripts, video subtitles), to voice interfaces (Alexa, Siri). ASR combines audio signal processing, acoustic modeling, and language models to predict what words were spoken.
💰 Gehalt nach Region
| Region | Junior | Mid | Senior |
|---|---|---|---|
| USA | $70k | $145k | $240k |
| UK | $50k | $100k | $160k |
| EU | $55k | $110k | $175k |
| CANADA | $65k | $130k | $220k |
🎯 Berufe, die Transcription Speech-to-Text nutzen
❓ FAQ
What's the difference between Whisper, Google Speech-to-Text, and AWS Transcribe?
How accurate are modern ASR models?
Can I use ASR for real-time transcription?
What about accents and non-native speakers?
Can I handle multiple speakers?
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