Demo Data from EDBT 2026 / reviewers in the wild / expert
Mahesh C. Mittal
dblp:45/4983
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1978
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Speech recognition and synthesis · 100% | |
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Speech recognition and synthesis › automatic speech recognition
isolated word recognition |
0.0 | 1 | 1978 | Recognition of Spoken Words and Phrases in Multitalker Environment Using Syntactic Methods · IEEE Trans. Computers 1978 |
Image and video processing
image reconstruction |
0.0 | 1 | 1975 | Picture Reconstruction from Projections · IEEE Trans. Computers 1975 |
Image and video processing › image reconstruction
reconstruction from projections |
0.0 | 1 | 1975 | Picture Reconstruction from Projections · IEEE Trans. Computers 1975 |
Natural language and speech › Speech recognition and synthesis › automatic speech recognition
phoneme recognition |
0.0 | 1 | 1978 | Recognition of Spoken Words and Phrases in Multitalker Environment Using Syntactic Methods · IEEE Trans. Computers 1978 |
Methods — techniques the papers use, named apart from their topics
statistical decision rule · 0.0phonological-syntactic rule · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1978 | Recognition of Spoken Words and Phrases in Multitalker Environment Using Syntactic MethodsabstractWe describe a method of recognizing isolated words and phrases from a given vocabulary spoken by any member in a given group of speakers, the identity of the speaker being unknown to the system. The word utterance is divided into 20-30 nearly equal frames, frame boundaries being aligned with glottal pulses for voiced speech. A constant number of pitch periods are included in each frame. Statistical decision rules are used to determine the phoneme in each frame. Using the string of phonemes from all the frames of the utterance, a word decision is obtained using (phonological) syntactic rules. The syntactic rules used here are of 2 types, namely, 1) those obtained from the theory of word construction from phonemes in English as applied to our vocabulary, 2) those used to correct possible errors in phonemic decisions obtained earlier based on the decisions of neighboring segments. In our experiment, the vocabulary had 40 words, consisting of many pairs of words which are phonemically close to each other. The number of speakers was 6. The identity of the speaker is not known to the system. In testing 400 words utterances, the recognition rate was about 80 percent for phonemes (for 11 phonemes) but the word recognition was 98.1 percent correct. Phonological-syntactic rules played an important role in upgrading the word recognition rate over the phoneme recognition rate. Rangasami L. Kashyap, Mahesh C. Mittal |
IEEE Trans. Computers | 2 |
| 1975 | Picture Reconstruction from ProjectionsabstractIn this paper we will present two methods for the reronstruction of a two-dimensional picture from its one-dimensional projections at various angles. The first method is recursive, and the second is nonrecursive. Both of these methods have potential applications in picture transmission, and offer valuable insight into the more general problem of reconstruction of three-dimensional objects from their two-dimensional projections. We will illustrate the numerical details of each method by considering the reconstruction of a picture discretized on a 32 X 32 grid, and compare their relative merits. These two methods will also be compared with other methods suggested in the literature. Rangasami L. Kashyap, Mahesh C. Mittal |
IEEE Trans. Computers | 2 |