Speaker Identification using Machine Learning

Whatever the modern achievement of deep learning for several terminology processing tasks, single-microphone, speaker-independent speech separation remains difficult for just two main things. The rest point is that the arbitrary arrangement of the goal and masker speakers in the combination (permutation problem), and also the following is the unidentified amount of speakers in the mix (output issue). We suggest a publication profound learning framework for speech modification, which handles both issues. We work with a neural network to project the specific time-frequency representation with the mixed-signal to a high-dimensional categorizing region. The time-frequency embeddings of the speaker have then made to an audience around corresponding attractor stage that is employed to figure out the time-frequency assignment with this speaker identifying a speaker using a blend of speakers together with the aid of neural networks employing deep learning. The purpose function for your machine is standard sign renovation error that allows finishing functioning throughout both evaluation and training periods. We assessed our system with all the voices of users three and two speaker mixes and also document similar or greater performance when compared with another advanced level, deep learning approaches for speech separation.

PENGELOLAAN POTENSI ALAM MELALUI APLIKASI TEKNOLOGI UNTUK MENINGKATKAN PRODUKTIVITAS MASYARAKAT

Peningkatan partisipasi masyarakat dalam pengelolaan potensi desa berbasis teknologi demi terwujudnya pembangunan desa berkelanjutan merupakan tema dari program KKN-PPM di desa Belok Sidan. Melalui beberapa program seperti: program kesehatan masyarakat, penyediaan air bersih melalui penerapan teknologi hydram, penerapan metode gravitasi pada system air bersih di tempekan Pucak Sari, penyuluhan sanitasi rumah tangga dan penyuluhan pola hidup bersih dan sehat pada anak-anak sekolah. Program yang berkaitan dengan lingkungan adalah penerapan teknologi sumur resapan dan biopori di pekarangan rumah penduduk dan kegiatan penghijauan dengan menanam kelapa daksina di areal tanah marginal dan daerah sumber air. Peningkatan produksi kopi bubuk melalui penerapan teknologi mesin pemecah kulit kopi basah. Metode yang diterapkan untuk mengatasi permasalahan masyarakat adalah: metode penyuluhan, pendampingan, gotong royong, penerapan teknologi tepat guna dan metode percontohan. Hasil pelaksanaan program: sistem air bersih metode pompa hydram dan gravitasi sudah terealisasi. Dari hasil evaluasi debit pemompaan 1.5 liter perdetik cukup untuk melayani 250 KK di dusun Punikit. Kegiatan PHBS sudah terlaksana dengan capaian 60 siswa SD di dusun Punikit. Kegiatan pelayanan kesehatan ternak capaiannya sekitar 160 ternak terlayani. Seratus pohon kelapa daksina telah ditanam diareal pura taman dan pura dalem. Kegiatan pendampingan usaha kopi bubuk dengan mesin pemecah kopi sudah beoperasi sesuai rencana dan beroperasi optimal. Kegiatan pembuatan kolam ikan air tawar sekaligus berfungsi sebagai rest point area wisata tracking sudah terlaksana dengan ditandai penebaran bibit ikan nila.

Just Starting Out: Learning and Equilibrium in a New Market

We document the evolution of the new market for frequency response within the UK electricity system over a six-year period. Firms competed in price while facing considerable initial uncertainty about demand and rival behavior. We show that prices stabilized over time, converging to a rest point that is consistent with equilibrium play. We draw on models of fictitious play and adaptive learning to analyze how this convergence occurs and show that these models predict behavior better than an equilibrium model prior to convergence. (JEL D22, D83, L13, L94, L98)

An instability of the standard model of cosmology creates the anomalous acceleration without dark energy

We identify the condition for smoothness at the centre of spherically symmetric solutions of Einstein’s original equations without the cosmological constant or dark energy. We use this to derive a universal phase portrait which describes general, smooth, spherically symmetric solutions near the centre of symmetry when the pressure p =0. In this phase portrait, the critical k =0 Friedmann space–time appears as a saddle rest point which is unstable to spherical perturbations. This raises the question as to whether the Friedmann space–time is observable by redshift versus luminosity measurements looking outwards from any point. The unstable manifold of the saddle rest point corresponding to Friedmann describes the evolution of local uniformly expanding space–times whose accelerations closely mimic the effects of dark energy. A unique simple wave perturbation from the radiation epoch is shown to trigger the instability, match the accelerations of dark energy up to second order and distinguish the theory from dark energy at third order. In this sense, anomalous accelerations are not only consistent with Einstein’s original theory of general relativity, but are a prediction of it without the cosmological constant or dark energy.