"neural network" - Selaus asiasanan mukaan Kandidaatintutkielmat

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    • Automatic syllable count estimation from speech using neural network trained with a dsp-based estimator 

      Grönlund, Elmeri (2023)
      Valinnaisten aineopintojen tutkielma
      Accurate syllable count estimation is crucial in various speech-related applications such as speech rate and rhythm analysis or language development research. However, it remains a challenging task to find cost-effective ...

    • Autonomous Racing Robot: Hardware and Software Implementation 

      Manninen, Eetu (2020)
      Kandidaatintyö
      Artificial intelligence and machine learning are used to solve more and more different and complex problems. One popular machine learning subfield is imitation learning, where robot learns to solve a specified task using ...

    • Bin Picking Using Deep Learning and Other Methods 

      Juntti, Kristoffer (2022)
      Kandidaatintyö
      This thesis focuses on various methods to solve the bin picking problem. An emphasis was put on methods utilizing deep learning. Bin picking systems consist of a robotic arm used to grasp randomly placed objects from a ...

    • Deep face detection for interactive avatar 

      Romppanen, Viljami (2021)
      Kandidaatintyö
      Face detection is one of the most studied problems of the computer vision field. It is usually the first step for other face related technologies such as face recognition and verification. In this thesis, a face detection ...

    • Forecasting emergency department arrivals with neural networks 

      Pulkkinen, Eetu (2020)
      Kandidaatintyö
      Emergency departments often suffer from chronic overloading as well as seasonal spikes in number of arrivals. In this study three different Deep learning based models are used to try to predict the next days arrivals to ...

    • The Effect of Feature Space Topology on Speech Emotion Recognition 

      Niskanen, Joel (2024)
      Kandidaatintyö
      The main purpose of speech emotion recognition (SER) is to determine the speaker’s current emotional state automatically. Typically, various machine learning models have been used to approach this problem. However, the ...

    • WaveTransformer: An Architecture For Automated Audio Captioning 

      Tran, An (2021)
      Kandidaatintyö
      Automated audio captioning is a multi-modal task in which the system receives an audio sample as an input and generates a text (a caption) that describes the information presented in the audio. The system not only detects ...