Bulk Download the Toronto emotional speech set (TESS) https://tspace.library.utoronto.ca/handle/1807/

tess_bulk_download.py

#!/usr/bin/env python3

# Python Version:  3.4.2
# bs4 version: 4.3.2-2

from urllib.request import urlopen
from bs4 import BeautifulSoup
import pickle

links = []

def fetch_links(path):
    html = urlopen(path) # Insert your URL to extract
    bsObj = BeautifulSoup(html.read());

    for link in bsObj.find_all('a'):
        if "bitstream" in link.get('href'):
            print("fetched:" + path)
            links.append("https://tspace.library.utoronto.ca" + link.get('href'))

# Magical range the University of Toronto used for this dataset
for i in range(24488, 24502):
    path = "https://tspace.library.utoronto.ca/handle/1807/" + str(i)
    print ("fetching: " + path)
    fetch_links(path)

print ("Fetched " + str(len(links)) + " paths") 
with open('tspace-links.pickle', 'wb') as fp:
    pickle.dump(links, fp)