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# SPDX-License-Identifier: Apache-2.0
#
# Copyright (c) 2023 Malik Talha
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import gi
import time
gi.require_version('Gst', '1.0')
from gi.repository import Gst, GLib
Gst.init(None)
GLib.threads_init()
class AudioRecorder:
"""
AudioRecorder is a class for recording audio using GStreamer in various modes.
"""
def __init__(self, stt_model, audio_files_basedir, channels=1, sample_rate=16000, bits_per_sample=16):
"""
Initialize the AudioRecorder instance with the provided parameters.
Args:
stt_model (str): The speech-to-text model to use for voice input recognition.
audio_files_basedir (str): The base directory for saving audio files.
channels (int, optional): The number of audio channels (default is 1).
sample_rate (int, optional): The audio sample rate in Hz (default is 16000).
bits_per_sample (int, optional): The number of bits per sample (default is 16).
"""
self.loop = GLib.MainLoop()
self.mode = None
self.pipeline = None
self.bus = None
self.audio_files_basedir = audio_files_basedir
self.sample_rate = sample_rate
self.channels = channels
self.bits_per_sample = bits_per_sample
self.frame_size = int(self.sample_rate * 0.02)
self.audio_model = stt_model
self.buffer_duration = 1 # Buffer audio for atleast 1 second
self.audio_buffer = bytearray()
self.energy_threshold = 50000 # Adjust this threshold as needed
self.silence_frames_threshold = 10
self.frames_above_threshold = 0
def create_pipeline(self):
"""
Create and configure the GStreamer audio recording pipeline.
Returns:
str: The name of the audio file being recorded.
"""
print("Creating pipeline for audio recording in {} mode...".format(self.mode))
self.pipeline = Gst.Pipeline()
autoaudiosrc = Gst.ElementFactory.make("alsasrc", None)
queue = Gst.ElementFactory.make("queue", None)
queue.set_property("max-size-buffers", 0)
queue.set_property("max-size-bytes", 0)
queue.set_property("max-size-time", 0)
audioconvert = Gst.ElementFactory.make("audioconvert", None)
wavenc = Gst.ElementFactory.make("wavenc", None)
capsfilter = Gst.ElementFactory.make("capsfilter", None)
caps = Gst.Caps.new_empty_simple("audio/x-raw")
caps.set_value("format", "S16LE")
caps.set_value("rate", self.sample_rate)
caps.set_value("channels", self.channels)
capsfilter.set_property("caps", caps)
self.pipeline.add(autoaudiosrc)
self.pipeline.add(queue)
self.pipeline.add(audioconvert)
self.pipeline.add(wavenc)
self.pipeline.add(capsfilter)
autoaudiosrc.link(queue)
queue.link(audioconvert)
audioconvert.link(capsfilter)
audio_file_name = f"{self.audio_files_basedir}{int(time.time())}.wav"
filesink = Gst.ElementFactory.make("filesink", None)
filesink.set_property("location", audio_file_name)
self.pipeline.add(filesink)
capsfilter.link(wavenc)
wavenc.link(filesink)
self.bus = self.pipeline.get_bus()
self.bus.add_signal_watch()
self.bus.connect("message", self.on_bus_message)
return audio_file_name
def start_recording(self):
"""
Start recording audio using the GStreamer pipeline.
"""
self.pipeline.set_state(Gst.State.PLAYING)
self.loop.run()
print("Recording Voice Input...")
def stop_recording(self):
"""
Stop audio recording and clean up the GStreamer pipeline.
"""
print("Stopping recording...")
# self.cleanup_pipeline()
self.pipeline.send_event(Gst.Event.new_eos())
print("Recording finished!")
def set_pipeline_mode(self, mode):
"""
Set the recording mode to 'auto' or 'manual'.
Args:
mode (str): The recording mode ('auto' or 'manual').
"""
self.mode = mode
def on_bus_message(self, bus, message):
"""
Handle GStreamer bus messages and perform actions based on the message type.
Args:
bus (Gst.Bus): The GStreamer bus.
message (Gst.Message): The GStreamer message to process.
"""
if message.type == Gst.MessageType.EOS:
print("End-of-stream message received")
self.cleanup_pipeline()
elif message.type == Gst.MessageType.ERROR:
err, debug_info = message.parse_error()
print(f"Error received from element {message.src.get_name()}: {err.message}")
print(f"Debugging information: {debug_info}")
self.cleanup_pipeline()
elif message.type == Gst.MessageType.WARNING:
err, debug_info = message.parse_warning()
print(f"Warning received from element {message.src.get_name()}: {err.message}")
print(f"Debugging information: {debug_info}")
elif message.type == Gst.MessageType.STATE_CHANGED:
if isinstance(message.src, Gst.Pipeline):
old_state, new_state, pending_state = message.parse_state_changed()
print(("Pipeline state changed from %s to %s." %
(old_state.value_nick, new_state.value_nick)))
elif self.mode == "auto" and message.type == Gst.MessageType.ELEMENT:
if message.get_structure().get_name() == "level":
rms = message.get_structure()["rms"][0]
if rms > self.energy_threshold:
self.frames_above_threshold += 1
# if self.frames_above_threshold >= self.silence_frames_threshold:
# self.start_recording()
else:
if self.frames_above_threshold > 0:
self.frames_above_threshold -= 1
if self.frames_above_threshold == 0:
self.stop_recording()
def cleanup_pipeline(self):
"""
Clean up the GStreamer pipeline, set it to NULL state, and remove the signal watch.
"""
if self.pipeline is not None:
print("Cleaning up pipeline...")
self.pipeline.set_state(Gst.State.NULL)
self.bus.remove_signal_watch()
print("Pipeline cleanup complete!")
self.bus = None
self.pipeline = None
self.loop.quit()
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