What is he best known for?
The fields of study Allen Gersho is best known for:
- Data compression
- Digital signal processing
- Speech coding
In the subject of Speech recognition, Allen Gersho integrates adjacent scientific disciplines such as Speech coding and Linear predictive coding.
His research on Speech coding often connects related topics like Speech recognition.
Allen Gersho conducted interdisciplinary study in his works that combined Algorithm and Theoretical computer science.
His studies link Pattern recognition (psychology) with Artificial intelligence.
His Pattern recognition (psychology) study typically links adjacent topics like Artificial intelligence.
His multidisciplinary approach integrates Vector quantization and Data compression in his work.
Allen Gersho performs integrative Data compression and Quantization (signal processing) research in his work.
Allen Gersho applies his multidisciplinary studies on Quantization (signal processing) and Vector quantization in his research.
In his works, he performs multidisciplinary study on Coding (social sciences) and Statistics.
His most cited work include:
- Vector Quantization and Signal Compression (5143 citations)
- Asymptotically optimal block quantization (841 citations)
- Efficient bit allocation for an arbitrary set of quantizers (speech coding) (806 citations)
What are the main themes of his work throughout his whole career to date
In his works, Allen Gersho conducts interdisciplinary research on Algorithm and Data compression.
Allen Gersho conducts interdisciplinary study in the fields of Data compression and Algorithm through his works.
His multidisciplinary approach integrates Artificial intelligence and Computer vision in his work.
He merges many fields, such as Computer vision and Artificial intelligence, in his writings.
In his work, he performs multidisciplinary research in Statistics and Coding (social sciences).
His Coding (social sciences) study frequently draws connections to other fields, such as Harmonic Vector Excitation Coding.
His Harmonic Vector Excitation Coding study frequently links to adjacent areas such as Speech recognition.
His research is interdisciplinary, bridging the disciplines of Linear predictive coding and Speech recognition.
His Telecommunications research extends to Linear predictive coding, which is thematically connected.
Allen Gersho most often published in these fields:
- Algorithm (64.47%)
- Artificial intelligence (55.26%)
- Statistics (48.68%)
What were the highlights of his more recent work (between 1999-2010.0)?
- Speech recognition (100.00%)
- Speech coding (80.00%)
- Statistics (80.00%)
In recent works Allen Gersho was focusing on the following fields of study:
Allen Gersho conducts interdisciplinary study in the fields of Speech recognition and Speech processing through his works.
His PSQM research extends to the thematically linked field of Speech processing.
Allen Gersho frequently studies issues relating to Linear predictive coding and PSQM.
Many of his studies on Linear predictive coding involve topics that are commonly interrelated, such as Speech recognition.
Allen Gersho conducts interdisciplinary study in the fields of Speech coding and Full Rate through his works.
He integrates Full Rate with Vector sum excited linear prediction in his study.
He combines Vector sum excited linear prediction and Code-excited linear prediction in his studies.
He integrates Code-excited linear prediction with Speech coding in his study.
In his articles, he combines various disciplines, including Statistics and Parametric statistics.
Between 1999 and 2010.0, his most popular works were:
- Variable bit-rate CELP coding of speech with phonetic classification (22 citations)
- Enhanced waveform interpolative coding at low bit-rate (21 citations)
- Hybrid coding: combined harmonic and waveform coding of speech at 4 kb/s (12 citations)
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