| 1. |
- Bertenstam, J, et al.
(författare)
-
THE WAXHOLM APPLICATION DATABASE
- 1995
-
Konferensbidrag (refereegranskat)abstract
- This paper describes an application database collected in Wizard-of-Oz experiments in a spoken dialogue system, WAXHOLM. The system provides information on boat traffic in the Stockholm archipelago. The database consists of utterance-length speech files, their corressonding transcriptions, and log files of the dialogue sessions. In addition to the spontaneous dialogue speech, the material also comprise recordings of phonetically balanced reference sentences uttered by all 66 subjects. In the paper the recording procedure is described as well as some characteristics of the speech data and the dialogue.
|
|
| 2. |
- Blomberg, Mats, et al.
(författare)
-
Auditory models and isolated word recognition
- 1983
-
Ingår i: STL-QPSR. ; 24:4, s. 1-15
-
Tidskriftsartikel (refereegranskat)abstract
- A straightforward isolated word recognition system has been used to test different auditory models in acoustic front end processing. The models include BARK, PHON and SONE. The PHONTEMP model is based on PHON but also includes temporal forward masking. We also introduce a model, DOMIN, which is intended to measure the dominating frequency at each point along the 'basilar membrane.' All the above models were derived from an FFT-analysis, and the FFT processing is also used as a reference model. One male and one female speaker were used to test the recognition performance of the different models on a difficult vocabulary consisting of 18 Swedish consonants and 9 Swedish vowels. The results indicate that the performance of the models decreases as they become more complex. The overall recognition accuracy of FFT is 97% while it is 87% for SONE. However, the DOMIN model which is sensitive to dominant frequencies (formants) performs very well for vowels.
|
|
| 3. |
|
|
| 4. |
- Elenius, K.O.E, et al.
(författare)
-
Effects of emphasizing transitional or stationary parts of the speech signal in a discrete utterance recognition system
- 1981
-
Ingår i: STL-QPSR. ; 22:4, s. 39-48
-
Tidskriftsartikel (refereegranskat)abstract
- A pattern matching word recognition system has been modified in order to emphasize the transient parts of speech in the similarity mesure. The technique is to weight the word distances with a normalized spectral change function. A small positive effect is measured. Emphasizing the stationary parts is shown to substantially decrease the performance. Adding the time derivative of the speech parameters to the word patterns improves performance significantly. This is probaly a consequence of an improvement in the description of the transient segments.
|
|
| 5. |
- Elenius, K.O.E., et al.
(författare)
-
Experiments with artificial neural networks for phoneme and word recognit
- 1993
-
In: STL-QPSR. ; 34:1, s. 47-56
-
Journal article (peer-reviewed)abstract
- An artificial neural network has been bained by the error back-propagation technique to recopse phonemes and words. The speech material was recorded by a male Swedish talker and was labelled by a phonetician. There were 38ou put nodes corresponding to Swedish phonemes. Introducing coarticulation information by adding simple recurrency to the net is shown to be more effective than expanding the size of the input spectral window. The phoneme recognition network was used with dynamic programming for time alignment to recognise connected digits in a speakerindependent way. It was compared to a similar recogniser based on nine quasi-phonetic features instead of 38phonemes. The phoneme-based system performed better fhan the feature-based one for five out of seven speakers.
|
|
