speech-recognition

问题 I was wondering whether there is a way to output words as soon as possible. For example if I say "hello world" it should output: hello world Currently I'm using this code import speech_recognition as sr r = sr.Recognizer() with sr.Microphone() as source: while True: r.pause_threshold=0.1 ##i tried playing with these 3 but no luck r.phrase_threshold=0.5 r.non_speaking_duration=0.1 audio = r.listen(source) try: text = r.recognize_google(audio) print(text) except Exception as e: print("-") What

问题 I need to do voice activity detection as a step to classify audio files. Basically, I need to know with certainty if a given audio has spoken language. I am using py-webrtcvad, which I found in git-hub and is scarcely documented: https://github.com/wiseman/py-webrtcvad Thing is, when I try it on my own audio files, it works fine with the ones that have speech but keeps yielding false positives when I feed it with other types of audio (like music or bird sound), even if I set aggressiveness at

问题 I am trying to get a clumsy Objective-C proof-of-concept example to run with SFSpeechRecognizer on Catalina transcribing a local audio file. After some googling I have managed to get the authorization to work by adding an Info.plist with NSSpeechRecognitionUsageDescription and I get the authorization dialog and the correct SFSpeechRecognizerAuthorizationStatus (SFSpeechRecognizerAuthorizationStatusAuthorized). However, my SFSpeechRecognizer instance still is unavailable. I suspect, I must be

问题 I want to develop a module which will use a speech to text support in Android. I found out many documentation and demos related to RecognizerIntent and such others. But I found that all of such demos just fetch the voice till 10 secs or so. But I want my demo to run for more than 5-10 minutes. I don't have any issue if that is not running offline, as my app is always working online. I have also looked in to Pocketsphinx on Android, but that didn't worked out well. Also, that gave support just

问题 I am using the SpeechRecognition Python package to get the audio from the user. import speech_recognition as sr # obtain audio from the microphone r = sr.Recognizer() with sr.Microphone() as source: print("Say something!") audio = r.listen(source) This piece of code when executed starts listening for the audio input from the user. If the user does not speak for a while it automatically stops. I want to know how can we get to know that it has stopped listening to audio? How can I manually

问题 I am using the SpeechRecognition Python package to get the audio from the user. import speech_recognition as sr # obtain audio from the microphone r = sr.Recognizer() with sr.Microphone() as source: print("Say something!") audio = r.listen(source) This piece of code when executed starts listening for the audio input from the user. If the user does not speak for a while it automatically stops. I want to know how can we get to know that it has stopped listening to audio? How can I manually

问题 I am trying to load an audio file in python and process it with google speech recognition The problem is that unlike in C++, python doesn't show data types, classes, or give you access to memory to convert between one data type and another by creating a new object and repacking data I dont understand how it's possible to convert from one data type to another in python The code in question is below, import speech_recognition as spr import librosa audio, sr = librosa.load('sample_data/metal.mp3

问题 I am trying to load an audio file in python and process it with google speech recognition The problem is that unlike in C++, python doesn't show data types, classes, or give you access to memory to convert between one data type and another by creating a new object and repacking data I dont understand how it's possible to convert from one data type to another in python The code in question is below, import speech_recognition as spr import librosa audio, sr = librosa.load('sample_data/metal.mp3

问题 I'm trying to record audio and do speech recognition at the same time. Each of them works separately, but together only the recording works. The code looks like that: private SpeechRecognizer sr; private MediaRecorder recorder; private void startRecording() throws IOException { recorder = new MediaRecorder(); recorder.setAudioSource(MediaRecorder.AudioSource.MIC); recorder.setOutputFormat(MediaRecorder.OutputFormat.THREE_GPP); recorder.setOutputFile("/dev/null"); recorder.setAudioEncoder

问题 What is the way to implement speech recognition (voice to text) with auto punctuation? I want to use it to turn a lecture (45 min talk) into text and if possible update the view dynamically. I tried SpeechRecognizer but it only gives me words without punctuation and stops listening after the first words. 回答1: You can use Punctuator, it assigns punctuation to ASR result with the help of a deep neural network. 来源： https://stackoverflow.com/questions/40961892/speech-recognition-in-real-time-with