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Speech Interface Engineer

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May 3, 2024 3 minute read

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Speech Interface Engineers design and develop speech recognition and synthesis systems. They work with engineers and scientists to create software applications that enable computers to understand and respond to human speech.

Job Outlook

The job outlook for Speech Interface Engineers is expected to be excellent in the coming years. The increasing use of speech recognition and synthesis technology in a variety of industries is expected to drive demand for qualified engineers.

Day-to-Day Responsibilities

Speech Interface Engineers typically work on a variety of tasks, including:

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Salaries for Speech Interface Engineer

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$149,000

$197,000

$275,000

$197,000

San Francisco

$160,000

$184,000

$232,000

$184,000

Seattle

$213,000

$268,000

$359,000

$268,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$149,000

$197,000

$275,000

$197,000

San Francisco

$160,000

$184,000

$232,000

$184,000

Seattle

$213,000

$268,000

$359,000

$268,000

Austin

$126,000

$157,000

$188,000

$157,000

Toronto

$117,000

$137,000

$184,000

$137,000

London

£87,000

£105,000

£123,000

£105,000

Paris

€50,000

€61,000

€73,000

€61,000

Berlin

€77,000

€96,000

€134,000

€96,000

Tel Aviv

₪357,000

₪472,000

₪599,000

₪472,000

Singapore

S$78,000

S$102,000

S$140,000

S$102,000

Beijing

¥614,000

¥820,000

¥995,000

¥820,000

Shanghai

¥374,000

¥568,000

¥780,000

¥568,000

Bengalaru

₹1,974,000

₹2,500,000

₹4,000,000

₹2,500,000

Delhi

₹326,000

₹455,000

₹704,000

₹455,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Speech Interface Engineer

Take the first step.

We've curated one courses to help you on your path to Speech Interface Engineer. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Using the Speech Recognition and Synthesis .NET APIs

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Reading list

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