def listen_query(seconds=10):
"""
records audio and prints if a match is found from the database
:param seconds:
:return:
"""
# open stream
au = pyaudio.PyAudio()
stream = au.open(format=pyaudio.paInt16,
channels=1,
rate=44100,
input=True,
frames_per_buffer=8192)
print("* recording")
query = []
for i in range(0, int(44100 / 8192 * seconds)):
data = stream.read(8192)
nums = np.fromstring(data, np.int16)
query.extend(nums[0::2])
print("* done recording")
# close and stop the stream
stream.stop_stream()
stream.close()
spec = bo.spectrogram(query, sample_rate=44100)
peaks = bo.get_peaks(spec)
hash_list = bo.gen_hash(peaks)
db_client = Database('fingerprints.db')
matches = db_client.fetch_result(hash_list)
print(matches)
def from_file(sec=6):
files = [file for file in glob.glob('**/*.wav', recursive=True)]
fi = random.randint(0, len(files) - 1)
samples, sample_rate = lb.load(files[fi], sr=None)
len_sample_start = random.randint(0, len(samples) - 1 - sample_rate * sec)
len_sample_stop = len_sample_start + sample_rate * sec
print(len_sample_start)
print(len_sample_stop)
sample_query = samples[len_sample_start:len_sample_stop]
spec = bo.spectrogram(samples=sample_query, sample_rate=sample_rate)
peaks = bo.get_peaks(spec)
hash_list = bo.gen_hash(peaks)
db_client = Database('fingerprints.db')
match = db_client.fetch_result(hash_list)
print(match)
