8/14/2023 0 Comments Google speech to text api pythonIt allows you to potentially modify the source code, hyperparameterize the model. It means that this is free to use and you can use the code in the way you want. Of course, the main advantage of open source speech-to-text engines is that they are open source. When you are looking for a speech-to-text engine, the first question you need to ask you is: which kind of engine am I going to choose? How to choose between open source and cloud engines ? They can sell requests with a license model (you pay a monthly subscription corresponding to a certain amount of requests) or a pay-per-use model (you pay only for requests you send). On the contrary, speech-to-text cloud engines are provided by AI providers, they are selling you requests that you can process via their APIs. You just need to download the library and use these engines directly from your machine. Open source engines are available for free, you can often find those solutions on github. We will see on this article that there are many ways to do it, including open source and cloud APIs engines. This article briefly treats how to use Speech-to-Text with Python. Many solutions are based on several functionalities combined. This list does not represent an exhaustive list of all speech recognition functionalities. Speech Translation: allows to translate an audio speech from a specific language into an audio speech from another language.Speech Diarization: Allows you to identify and differentiate the different speakers speaking in the same audio (by accents, specificities, etc.).Speech Analysis: allows to analyze an audio speech in order to extract information such as: gender, age, emotions of the speaker.Text-to-Speech: allows you to transcribe a text into audio.Speech-to-Text: allows you to transcribe audio into text.Speech recognition includes various functionalities : This popularity is due to the huge diversity of applications and needs : call center, broadcasting, traduction, health care, banking, voice assistant, etc. Or alternatively: RecognizeResponse.In recent years, within the world of Artificial Intelligence, one of the most popular applications is Speech recognition. To solve this you should use: RecognizeResponse.to_json(response) Or you use MessageToDict to directly convert to dictionary.įrom some version the proto conversion changed and results in getting an error: AttributeError: 'DESCRIPTOR' Response_dict = json.loads(response_json_str) Response_json_str = MessageToJson(response, indent=0) Response: RecognizeResponse = client.recognize(config=your_config, audio=your_audio) If you would like to work with MessageToJson anyway and convert it to dictionary you can do the following: import jsonįrom _format import MessageToJson You can work directly with the RecognizeResponse in the following way: response: RecognizeResponse = client.recognize(config=your_config, audio=your_audio)įinal_transcripts_confidence.append(nfidence)įinal_transcripts.append(anscript) The MessageToJson converts the RecognizeResponse from protobuf message to JSON format but in a form of string. I dont understand why Google return this object which is so difficult to work with. Is there another way to work with the _v1.types.RecognizeResponse object in Python to get the transcribed text?.Why would the MessageToJson function return a string, rather than a Dict / json object?.I get the following output: response is a Īs you can see, the result of running the google MessageToJson function is actually a string and I have to load it into a Dict using the json.loads function. Print('now result_json is a ' + str(type(result_json))) Print('result_json is a ' + str(type(result_json))) Print('response is a ' + str(type(response))) Response = client.recognize(config, audio) Speech_content = speech_content_code('utf-8') Speech_content_bytes = base64.b64encode(data) I have found this almost unusable in Python as I cannot iterate over it to get the multiple text strings returned.Īfter much searching for solutions to make this usable in Python I found a solution in Stack Overflow to use from _format.MessageToJson(). It returns an object of type _v1.types.RecognizeResponse. I am working with the google speech to text API.
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