CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks
Summary
CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks is a scholarly article[1].
Key Facts
CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/cnn-n-gru-end-to-end-speech-emotion-recognition-from-raw-waveform-signal-using-cnns-and-gated-recurrent-unit-networks
MLA“CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cnn-n-gru-end-to-end-speech-emotion-recognition-from-raw-waveform-signal-using-cnns-and-gated-recurrent-unit-networks.
BibTeX@misc{4ortxyz_cnn-n-gru-end-to-end-speech-emotion-recognition-from-raw-waveform-signal-using-cnns-and-gated-recurrent-unit-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks}}, year = {2026}, url = {https://4ort.xyz/entity/cnn-n-gru-end-to-end-speech-emotion-recognition-from-raw-waveform-signal-using-cnns-and-gated-recurrent-unit-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks — https://4ort.xyz/entity/cnn-n-gru-end-to-end-speech-emotion-recognition-from-raw-waveform-signal-using-cnns-and-gated-recurrent-unit-networks (retrieved 2026-05-24)
