Age, Biography and Wiki

Lawrence Rabiner was born on 28 September, 1943 in Brooklyn, New York, is an American electrical engineer (born 1943). Discover Lawrence Rabiner's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 80 years old?

Popular As N/A
Occupation N/A
Age 80 years old
Zodiac Sign Libra
Born 28 September 1943
Birthday 28 September
Birthplace Brooklyn, New York
Nationality United States

We recommend you to check the complete list of Famous People born on 28 September. He is a member of famous engineer with the age 80 years old group.

Lawrence Rabiner Height, Weight & Measurements

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Dating & Relationship status

He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.

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Lawrence Rabiner Net Worth

His net worth has been growing significantly in 2023-2024. So, how much is Lawrence Rabiner worth at the age of 80 years old? Lawrence Rabiner’s income source is mostly from being a successful engineer. He is from United States. We have estimated Lawrence Rabiner's net worth, money, salary, income, and assets.

Net Worth in 2024 $1 Million - $5 Million
Salary in 2024 Under Review
Net Worth in 2023 Pending
Salary in 2023 Under Review
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Source of Income engineer

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Timeline

1943

Lawrence R. Rabiner (born 28 September 1943) is an electrical engineer working in the fields of digital signal processing and speech processing; in particular in digital signal processing for automatic speech recognition.

He has worked on systems for AT&T Corporation for speech recognition.

He holds a joint academic appointment between Rutgers University and the University of California, Santa Barbara.

Rabiner was born in Brooklyn, New York, in 1943.

During his studies at MIT, he participated in the cooperative program at AT&T Bell Laboratories, during which he worked on digital circuit design and binaural hearing.

1967

After obtaining his PhD in 1967, he joined AT&T Bell Laboratories' research division in Murray Hill, NJ as a member of technical staff.

1972

He was promoted to supervisor in 1972, department head in 1985, director in 1990, and functional vice-president in 1995.

1996

He joined the newly created AT&T Labs - Research in 1996 as director of the Speech and Image Processing Services Research Laboratory.

1998

He was promoted vice-president of Research in 1998, succeeding Sandy Fraser, where he managed broad programs in communication, computing, and information sciences.

2002

He retired from AT&T in 2002 and joined the department of electrical engineering at Rutgers University, with a joint appointment at the University of California, Santa Barbara.

Rabiner pioneered a range of novel algorithms for digital filtering and digital spectrum analysis.

The most well known of these algorithms are the Chirp z-Transform method (CZT) of spectral analysis, a range of optimal FIR (finite impulse response) digital filter design methods based on linear programming and Chebyshev approximation methods, and a class of decimation/interpolation methods for digital sampling rate conversion.

In the area of speech processing, Rabiner has made contributions to the fields of pitch detection, speech synthesis and speech recognition.

Rabiner built one of the first digital speech synthesizers that was able to convert arbitrary text to intelligible speech.

In the area of speech recognition, Rabiner was a major contributor to the creation of the statistical method of representing speech that is known as hidden Markov modeling (HMM).

Rabiner was the first to publish the scaling algorithm for the Forward–Backward method of training of HMM recognizers.

His research showed how to successfully implement an HMM system based on either discrete or continuous density parameter distributions.

His tutorial paper on HMM is highly cited.

Rabiner's research resulted in a series of speech recognition systems that went into deployment by AT&T to enable automation of a range of ‘operator services’ that previously had been carried out using live operators.

One such system, called the Voice Recognition Call Processing (VRCP) system, automated a small vocabulary recognition system (5 active words) with word spotting and barge-in capability.

It resulted in savings of several hundred millions of dollars annually for AT&T.