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| ANN | Artificial Neural Network. The framework that is used in the hybrid HMM/ANN recognizer to compute local phoneme probabilities. |
| ASR | Automatic Speech Recognition. |
| CDHMM | Continuous Density Hidden Markov Model. Currently the most popular flavor of the HMM for ASR. |
| CSR | Continuous (automatic) Speech Recognition |
| CTT | Centrum för talteknologi (Centre for Speech Technology), based at KTH, Stockholm. |
| DAG | Directed acyclic graph |
| DFA | Deterministic Finite State Automaton. |
| DP | Dynamic Programming. An computationally efficient scheme for solving certain optimization problems. |
| EM | Expectation Maximization. Statistical method for parameter estimation. |
| EUROSPEECH | European Conference on Speech Communication and Technology. |
| FSA | Finite State Automaton. |
| HMM | Hidden Markov Model. A statistical time-series model that forms the basis of most contemporary state-of-the-art ASR systems. |
| ICASSP | International Conference on Acoustics, Speech, and Signal Processing. |
| ICSLP | International Conference on Spoken Language Processing. |
| IEEE | The Institute of Electrical and Electronic Engineers, Inc. |
| JASA | Journal of the Acoustic Society of America. |
| KTH | Kungliga Tekniska Högskolan (Royal Institute of Technology), Stockholm, Sweden. |
| MAP | Maximum a posteriori. Optimization criterion for the estimation of statistical parameters. |
| MCE | Minimum Classification Error. General optimization criterion for statistical classifiers. |
| ML | Maximum Likelihood. Optimization criterion for the estimation of statistical parameters. |
| NFA | Non-deterministic Finite State Automaton. |
| SD | Speaker Dependent. |
| SI | Speaker Independent. |
| STL-QPSR | Speech Transmission Laboratory - Quarterly Progress and Status Report, THM, KTH. |
| TMH | Institutionen för tal, musik och hörsel (Department of Speech, Music and Hearing), KTH, Stockholm. |
| TIMIT | Speech database recorded and processed by Texas Instruments and Massachusetts Institute of Technology. |
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