On the information rate of speech communication

By Steven Van Kuyk, W. Kleijn, Richard Christian Hendriks. 2017

26 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Xin Eric Wang
2. Jan Skoglund
3. Junichi Yamagishi
4. Xu Tan
5. Wei-Ning Hsu
6. Jean-Marc Valin
7. Adam Polyak
8. Aäron van den Oord

Citations in the corpus

• Low Bit-rate Speech Coding with VQ-VAE and a WaveNet Decoder (2019, background): “Bit rate reduces from left to right, with the optimum performance for a codec suggested in [7] being in the top right corner of the graph.”
• Wavenet Based Low Rate Speech Coding (2017, background): “A recent rate estimate [5] based on comparing signals with the same message is consistent with lexical information rates computed from phoneme statistics [6].”
• Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis (2018, background): “While speech waveforms have a very high bitrate (e.g., 705,600 bits per second for CD-quality audio), the spoken text only accounts for a handful of these bits, perhaps 50 or 100 bits per second [1].”