AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 35 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Far-field automatic speech recognition(ASR) degrades under reverberation, noise, and talker motion, yet the benchmarks that drive model selection emphasize close-microphone speech. We present FFASR, a held-out corpus of 15,637 utterances and an open leaderboard spanning nine conditions, each varying a single acoustic f...
Increasing the overall realism of synthetic acoustic training data improves the generalization of DeepFilterNet3 to unseen measured environments and shows that increasing the overall realism of synthetic acoustic training data improves the generalization of DeepFilterNet3 to unseen measured environments.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.