import panel as pn from panel.widgets import SpeechToText, GrammarList pn.extension()
SpeechToText widget controls the speech recognition service of the browser by wrapping the HTML5
The functionality is experimental and only supported by Chrome and a few other browsers. See https://caniuse.com/speech-recognition or https://developer.mozilla.org/en-US/docs/Web/API/SpeechRecognition#Browser_compatibility for an up-to-date list of browsers supporting the SpeechRecognition API. Even in Chrome the
max_alternatives parameters are not yet supported.
On some browsers, like Chrome, using Speech Recognition on a web page involves a server-based recognition engine. Your audio is sent to a web service for recognition processing, so it won’t work offline. Whether this is secure and confidential enough for your use case is up to you to evaluate.
results(List[Dict]): The results recognized. A list of Dictionaries.
value(str): The most recent SpeechRecognition result as a string.
lang(str): The language of the current SpeechRecognition service in BCP 47 format. For example ‘en-US’.
continuous(bool): Controls whether continuous results are returned for each recognition, or only a single result. Defaults to False.
interim_results(boolean): Controls whether interim results should be returned (True) or not (False.) Interim results are results that are not yet final (e.g. the RecognitionResult.is_final property is False).
max_alternatives(int): Sets the maximum number of RecognitionAlternatives provided per result. A number between 1 and 5. The default value is 1.
service_uri(str): Specifies the location of the speech recognition service used by the current SpeechRecognition service to handle the actual recognition. The default is the user agent’s default speech service.
grammars(GrammarList): A GrammarList object that represents the grammars that will be understood by the current SpeechRecognition service.
started(boolean): Returns True if the Speech Recognition Service is started and False otherwise.
audio_started(boolean): Returns True if the Audio is started and False otherwise
sound_started(boolean): Returns True if the Sound is started and False otherwise
speech_started(boolean): Returns True if the the User has started speaking and False otherwise
button_hide(bool): Whether to show (False) or hide (True) the toggle start/ stop button.
button_type(str): One of ‘default’, ‘primary’, ‘success’, ‘warning’, ‘danger’ and ‘light’.
button_not_started(str): The text to show on the button when the SpeechRecognition service is NOT started. If ‘’ a muted microphone icon is shown.
button_started(str): The text to show on the button when the SpeechRecognition service is started. If ‘’ a muted microphone icon is shown.
Events are transient boolean parameters which when set to true trigger an event and then immediately revert to False.
start(bool): Starts the speech recognition service listening to incoming audio with intent to recognize grammars associated with the current SpeechRecognition.
stop(bool): Stops the speech recognition service from listening to incoming audio, and attempts to return a list of RecognitionResult using the audio captured so far.
abort(bool): Stops the speech recognition service from listening to incoming audio, and doesn’t attempt to return a list of RecognitionResult.
results_deserialized(List[RecognitionResult]): The results recognized. A list of RecognitionResult objects.
results_as_html(str): Returns the
resultsformatted as html. Convenience property for ease of use.
A set of words or patterns of words that we want the speech recognition service to recognize.
grammar = Grammar( src='#JSGF V1.0; grammar colors; public <color> = aqua | azure | beige;', weight=0.7 )
Wraps the HTML SpeechGrammar API.
src(str): A set of words or patterns of words that we want the recognition service to recognize. Defined using JSpeech Grammar Format. See https://www.w3.org/TR/jsgf/.
uri(str): An uri pointing to the definition. If src is available it will be used. Otherwise uri. The uri will be loaded on the client side only.
weight(float): The weight of the grammar. A number in the range 0–1. Default is 1.
A list of Grammar objects containing words or patterns of words that we want the recognition service to recognize.
grammar = '#JSGF V1.0; grammar colors; public <color> = aqua | azure | beige | bisque ;' grammar_list = GrammarList() grammar_list.add_from_string(grammar, 1)
Wraps the HTML 5 SpeechGrammarList API.
add_from_string(src: str, weight: float): Takes a grammar src and weight and adds it to the GrammarList as a new Grammar object. The new Grammar object is returned.
add_from_uri(uri: str, weight: float): Takes a grammar uri and weight and adds it to the GrammarList as a new Grammar object. The new Grammar object is returned.
The RecognitionAlternative represents a word or sentence that has been recognised by the speech recognition service.
Wraps the HTML5 SpeechRecognitionAlternative API.
confidence(float): A numeric estimate between 0 and 1 of how confident the speech recognition system is that the recognition is correct.
transcript(str): The transcript of the recognised word or sentence.
The Result represents a single recognition match, which may contain multiple RecognitionAlternative objects.
Wraps the HTML5 SpeechRecognitionResult API.
is_final(boolean): A Boolean that states whether this result is final (True) or not (False) — if so, then this is the final time this result will be returned; if not, then this result is an interim result, and may be updated later on.
alternatives(List[RecognitionResult]): The list of the n-best alternatives.
speech_to_text_basic = SpeechToText(button_type="light") pn.Row(speech_to_text_basic.controls(['value'], jslink=False), speech_to_text_basic)
To get the most recent result we can simply access the
For more detailed results including the confidence level access the
We start by instantiating a
SpeechToText object with a
grammar_list = GrammarList() src = "#JSGF V1.0; grammar colors; public <color> = aqua | azure | beige | bisque | black | blue | brown | chocolate | coral | crimson | cyan | fuchsia | ghostwhite | gold | goldenrod | gray | green | indigo | ivory | khaki | lavender | lime | linen | magenta | maroon | moccasin | navy | olive | orange | orchid | peru | pink | plum | purple | red | salmon | sienna | silver | snow | tan | teal | thistle | tomato | turquoise | violet | white | yellow ;" grammar_list.add_from_string(src, 1) speech_to_text = SpeechToText(button_type="light", grammars=grammar_list, height=50) controls = speech_to_text.controls(jslink=False)
Next we create a callback which will render the
@pn.depends(speech_to_text) def results(results): return pn.pane.HTML(speech_to_text.results_as_html, width=100, margin=(0, 15, 0, 15))
Finally we compose this into an
app = pn.Row(controls, speech_to_text, results) app.servable()
Try changing some of the parameters. For example changing the
continuous parameter will keep the SpeechRecognition service open which lets you say multiple statements after each other.