$ gcloud alpha ml speech recognize-long-running AUDIO_FILE \
    --language-code LANGUAGE_CODE --sample-rate SAMPLE_RATE

$ gcloud alpha ml speech recognize-long-running AUDIO_FILE \
    --language-code LANGUAGE_CODE --sample-rate SAMPLE_RATE --async

$ gcloud alpha ml speech operations describe OPERATION_ID

$ gcloud alpha ml speech operations wait OPERATION_ID

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

--additional-language-codes=[LANGUAGE_CODE,...]

The BCP-47 language tags of other languages that the speech may be in. Up to 3 can be provided.
If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language-code.

--async

Display information about the operation in progress, without waiting for the operation to complete.

--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-confidence

Include a list of words and the confidence for those words in the top result.

--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).

--enable-speaker-diarization

Enable speaker detection for each recognized word in the top alternative of the recognition result using an integer speaker_tag provided in the WordInfo.

--diarization-speaker-count=DIARIZATION_SPEAKER_COUNT

Estimated number of speakers in the conversation being recognized.

GCLOUD WIDE FLAGS

API REFERENCE

NOTES

$ gcloud ml speech recognize-long-running $ gcloud beta ml speech recognize-long-running