POSITIONAL ARGUMENTS

AUDIO

The location of the audio file to transcribe. Must be a local path or a Google Cloud Storage URL (in the format gs://bucket/object).

REQUIRED FLAGS

--language-code=LANGUAGE_CODE

The language of the supplied audio as a BCP-47 (www.rfc-editor.org/rfc/bcp/bcp47.txt language tag. Example: "en-US". See cloud.google.com/speech/docs/languages for a list of the currently supported language codes.

OPTIONAL FLAGS

--encoding=ENCODING; default="encoding-unspecified"

The type of encoding of the file. Required if the file format is not WAV or FLAC. ENCODING must be one of: amr, amr-wb, encoding-unspecified, flac, linear16, mulaw, ogg-opus, speex-with-header-byte.

--filter-profanity

If True, the server will attempt to filter out profanities, replacing all but the initial character in each filtered word with asterisks, e.g. \"f**\".

--hints=[HINTS,...]

A list of strings containing word and phrase "hints" so that the speech recognition is more likely to recognize them. This can be used to improve the accuracy for specific words and phrases, for example, if specific commands are typically spoken by the user. This can also be used to add additional words to the vocabulary of the recognizer. See cloud.google.com/speech/limits#content

--include-word-time-offsets

If True, the top result includes a list of words with the start and end time offsets (timestamps) for those words. If False, no word-level time offset information is returned.

--max-alternatives=MAX_ALTERNATIVES; default=1

Maximum number of recognition hypotheses to be returned. The server may return fewer than max_alternatives. Valid values are 0-30. A value of 0 or 1 will return a maximum of one.

--sample-rate=SAMPLE_RATE

The sample rate in Hertz. For best results, set the sampling rate of the audio source to 16000 Hz. If that's not possible, use the native sample rate of the audio source (instead of re-sampling).

GCLOUD WIDE FLAGS

API REFERENCE

NOTES

$ gcloud alpha ml speech recognize $ gcloud beta ml speech recognize