Tested with both real narrowband files and asking Watson to read a broadband ogg file (created from mp4) as narrowband. Model: _voice has been traced to ensure correct settingĬontent_type: _contentType has been traced to ensure correct settingĪny ogg file submitted to Speech to Text with narrowband settings fails with Error: No speech detected for 30s. _type is either mp3 (narrowband from phone recording) or mp4 (broadband) Code follows: exports.createTranscript = function(req, res, next) Yes, in advance, I am changing the call to Watson to correctly specify the model and content_type. I can listen to it and hear the same people) as the mp3 file. ibm bluemix watson speech to text service. Watson speech-to-text: Narrowband producing better results than Broadband 3. I've tested the output from ffmpeg and the narrowband ogg file has the same audio content (e.g. I have a Python script which uses an audio file and Watson speech to text service, and prints the recognized transcript and also the confidence. If the source file is narrow band, Watson Speech to Text fails to read the ogg file. If the source file is broadband, Watson Speech to Text accepts the file with no issues. It is not available for previous-generation models.NodeJS app using ffmpeg to create ogg files from mp3 & mp4. The service offers multiple APIs to accommodate different application needs, including a WebSocket interface and synchronous and asynchronous HTTP interfaces. Then experiment with different values as necessary, adjusting the value by small increments.īeta: The parameter is beta functionality. The Watson Speech to Text service is ideal for clients who need to extract high-quality speech transcripts from audio in formats that support both compressed and uncompressed data. To determine the most effective value for your scenario, start by setting the value of the parameter to a small increment, such as -0.1, -0.05, 0.05, or 0.1, and assess how the value impacts the transcription results. Positive values bias the service to favor hypotheses with longer strings of characters.Īs the value approaches -1.0 or 1.0, the impact of the parameter becomes more pronounced. Negative values bias the service to favor hypotheses with shorter strings of characters. The allowable range of values is -1.0 to 1.0. By default, the service is optimized to produce the best balance of strings of different lengths. Use caution when you set the weight: a higher value can improve the accuracy of phrases from the custom model's domain, but it can negatively affect performance on non-domain phrases.įor next-generation models, an indication of whether the service is biased to recognize shorter or longer strings of characters when developing transcription hypotheses. Assign a higher value if your audio makes frequent use of OOV words from the custom model. The default value yields the best performance in general. Unless a different customization weight was specified for the custom model when the model was trained, the default value is:Ġ.1 for next-generation English and Japanese modelsĪ customization weight that you specify overrides a weight that was specified when the custom model was trained. You can use the customization weight to tell the service how much weight to give to words from the custom language model compared to those from the base model for the current request. If you specify a customization ID when you open the connection, For more information, see Using the default model.Īllowable values: For Speech to Text for IBM Cloud Pak for Data, if you do not install the en-US_BroadbandModel, you must either specify a model with the request or specify a new default model for your installation of the service. The IBM Watson Speech to Text service supports a growing collection of next-generation models that improve upon the speech recognition capabilities of the. The default model is en-US_BroadbandModel. See Using a model for speech recognition. The model to use for all speech recognition requests that are sent over the connection. For more information, see Authenticating to IBM Cloud Pak for Data. Pass an access token as you would with the Authorization header of an HTTP request. For more information, see Authenticating to IBM Cloud. You pass an IAM access token instead of passing an API key with the call. Pass an Identity and Access Management (IAM) access token to authenticate with the service. After a connection is established, it can remain active even after the token or its credentials are deleted. You do not need to refresh the access token for an active connection that lasts beyond the token's expiration time. You remain authenticated for as long as you keep the connection open. After you establish a connection, you can keep it alive indefinitely. You pass an access token only to establish an authenticated connection. You must establish the connection before the access token expires. Pass a valid access token to establish an authenticated connection with the service.
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