A biologically plausible algorithm is proposed for phoneme recognition that makes use of spikes for computation. The prototype system is demonstrated on voiced phonemes and shows competitive performance with state-of-the-art systems on a vowel datas
This paper introduces WaveNet, a deep neural network for generating raw audio waveforms. The model is fully probabilistic and autoregressive, with the predic- tive distribution for each audio sample conditioned on all previous ones; nonethe- less we
Recurrent neural networks, particularly the long short-term memory networks, are extremely appealing for sequence-tosequence learning tasks. Despite their great success, they typically suffer from a fundamental shortcoming: they are prone to generat
“Lecture Notes in Electrical Engineering (LNEE)” is a book series which reports the latest research and developments in Electrical Engineering, namely: • Communication, Networks, and Information Theory • Computer Engineering • Signal, Image, Speech
端到端的语音处理系统，Recently, encoder-decoder neural networks have shown impressive performance on many sequence-related tasks. The architecture commonly uses an attentional mechanism which allows the model to learn alignments between the source and the targ
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist Temporal Classification make it possible to train RNNs for sequence labelling problems where the input-output alignment is u
语音识别LAS结构where d and y, are MLP networks. After training, the a; distribution Table 1: WER comparison on the clean and noisy Google voice
is typically very sharp and focuses on only a few frames of h; ci car
search task. The CLDNN-hMM system is the s
主要内容课程内容一些关于语言学的内容(a tiny bit about linguistics)音素(phoneme)词态(morphology)单词的书写(words in writing system)模型(model)单词级模型(woed-level model)纯字符级模型(pure character level model)子词模型(subword model)BPE(Byte Pair Encoding)字符级/词级混合模型(hybrid character and word le
