N.Watanabe nwatab

Comparison

Read 4 batchs of 10 audio signals sequentially without converting into spectrogram via numpy (code not shown in this gist): 30.084 sec
Read 4 batchs of 10 audio signals and convert into dB mel spectrograms via tf.data.Dataset sequentially without optimization: 9.423 sec
Read 4 batchs of 10 audio signals and convert into dB mel spectrograms via tf.data.Dataset with optimization: 3.922sec

	;;; init.el --- My init.el -- lexical-binding: t; --

	;; Copyright (C) 2020 Naoya Yamashita

	;; Author: Naoya Yamashita <[email protected]>

	;; This program is free software: you can redistribute it and/or modify
	;; it under the terms of the GNU General Public License as published by
	;; the Free Software Foundation, either version 3 of the License, or
	;; (at your option) any later version.

	import React from 'react';
	import { BrowserRouter as Router, Switch, Route} from "react-router-dom";
	import Users from './Users';

	export default function App() {
	return (
	<Router>
	<Switch>
	<Route exact path="/users/:id">
	<Users />

	<!DOCTYPE html>
	<html>
	<head>
	<title>Add Map</title>
	<script src="./positions.js" defer></script>
	<script
	src="https://maps.googleapis.com/maps/api/js?key=GOOGLE_MAP_JS_API_KEY&callback=initMap&libraries=&v=weekly"
	defer
	></script>
	<style type="text/css">

	import os

	import firebase_admin
	from firebase_admin import credentials
	from firebase_admin import firestore
	cred = credentials.Certificate('../your_project_credential.json')
	firebase_admin.initialize_app(cred, {
	'projectId': 'your_project_id'
	})

	import React from 'react';
	import { BrowserRouter as Router, Route, Switch} from 'react-router-dom'
	import { ThemeProvider } from '@material-ui/styles';
	import {Elements} from '@stripe/react-stripe-js';
	import {loadStripe} from '@stripe/stripe-js';

	import theme from './Theme'
	import { AuthProvider } from './Auth'
	import SignUp from './SignUp'

	import tensorflow as tf

	class LogMelspectrogramLayer(tf.keras.layers.Layer):
	"""
	signals = librosa.load('path/to/audio.mp3')
	log_melspectrogram_layer = LogMelspectrogramLayer()
	logmelspectrogram = log_melspectrogram_layer(signals)
	"""
	def __init__(self, num_fft=2048, hop_length=512, sr=24000, fmin=125., fmax=3800., num_mel=128, **kwargs):
	super(LogMelgramLayer, self).__init__(**kwargs)