3 accepted papers
Due to the complexity of emotional features, there has been limited success in emotional voice conversion. One major challenge is that conversion between more than two kinds of emotions often accompanies distortion of voice signal.The factorized hierarchical variational autoencoder (FHVAE) [1] was p…
Recent attention-based end-to-end speech synthesis from text systems have achieved human-level performance. However, many approaches cause a sequence-to-sequence model to generate only averaged results of the input text, making it difficult to control the duration of utterance. In this study, we pre…
This paper presents a novel approach to improve the performance of polyphonic sound event detection that combines a convolutional bidirectional recurrent neural network (CBRNN) with transfer learning. The ordinary convolutional recurrent neural network (CRNN) is known to suffer from a vanishing grad…