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In this paper, a system that robustly searches and matches a music input signal to a music collection database using a hash table that is constructed from n-grams of reduced tonal profile. Since the problem that is being studied requires high performance, efficiency and scalability, not only the retrieval accuracy should be high, but also the systems workload on the processing unit and the memory...
In this paper, we introduce a Turkish-to-English speech translation system trained with a parallel corpus recently developed at TUBITAK-UEKAE and we investigate the performance improvement obtained by using speaker adaptation. We describe the two sub-modules of the system, namely, the speech recognition and machine translation modules, and we investigate the relationship between their individual performances...
Biometrics play an important role in modern access control systems to overcome the problems of forgotten, stolen or easily-guessed passwords. With the recent developments in cryptography, hashing and random number generation, biometrics and cryptography are combined in new generation cryptosystems. In this paper, it is aimed to produce a unique binary biometric identity code (bit string) by using...
Using posterior probability based features to segment an audio signal as speech and music has been commonly used method. In this study Hidden-Markov-Model (HMM) based acoustic models are used to calculate posterior probabilities. Acoustic Models includes states of context-independent phones as modeling unit. Entropy and dynamism are found using via the posterior probabilities and these values are...
When used with a good fingerprint enhancement algorithm, cost-effective and less complex features may perform well for recognition of low-quality fingerprints. Especially, improving systems using such features is a promising point in large-scale fingerprint verification systems. In this study, scores obtained from features which are extracted from the wedge and ring based tessellation of a fingerprint...
Recognition engines are common tools for both speech and speaker recognition. With this respect, TREN-SI (Turkish recognition engine for speaker identification) is presented as a hidden Markov model-based (HMM-based), two-layered distributed speaker identification software. TREN-SI contains specialized modules that allow a full interoperable platform including a speaker recognizer, feature extractor...
Although Turkish is usually read as written, there are still differences and mismatches with spoken and written Turkish. In order to build reliable speech processing applications, or to determine linguistics standards, defining pronounciation rules in Turkish is a promising task. Objectively, the main purpose of this study is said to determine the transition rules between orthographic and phonetic...
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