IBM Cloud Speech to Text 语音识别

 https://speech-to-text-demo.ng.bluemix.net/

 点击首页紫色的那个「Star for free in IBM Cloud」按钮，注册IBM Cloud并登陆

然后添加SPEECH TO TEXT 服务。

点击左侧service credentials， 创建new credentials。

复制，保存你的credentials。

{
"apikey": "xxxx",
"iam_apikey_description": "Auto generated apikey during resource-key operation for Instance - crn:v1:bluemix:public:speech-to-text:au-syd:xxx::",
"iam_apikey_name": "auto-generated-apikey-xxxx",
"iam_role_crn": "crn:v1:bluemix:public:iam::::serviceRole:Manager",
"iam_serviceid_crn": "crn:v1:bluemix:public:iam-identity::xxxx",
"url": "https://gateway-syd.watsonplatform.net/speech-to-text/api"
}

REF:

https://console.bluemix.net/apidocs/speech-to-text?language=python

PARAMETERS

• audio

  AudioSource

  An AudioSource object that provides the audio that is to be transcribed.

• content_type

  str

  The format (MIME type) of the audio. For more information about specifying an audio format, see Audio formats (content types) in the method description.

  Allowable values: [application/octet-stream, audio/basic, audio/flac, audio/g729, audio/l16, audio/mp3, audio/mpeg, audio/mulaw, audio/ogg, audio/ogg;codecs=opus, audio/ogg;codecs=vorbis, audio/wav, audio/webm, audio/webm;codecs=opus, audio/webm;codecs=vorbis]

• recognize_callback

  object

  A RecognizeCallback object that defines methods to handle events from the WebSocket connection. Override the definitions of the object's default methods to respond to events as needed by your application.

• model

  str

  The identifier of the model that is to be used for the recognition request. See Languages and models.

  Allowable values: [ar-AR_BroadbandModel,de-DE_BroadbandModel,en-GB_BroadbandModel,en-GB_NarrowbandModel,en-US_BroadbandModel,en-US_NarrowbandModel,en-US_ShortForm_NarrowbandModel,es-ES_BroadbandModel,es-ES_NarrowbandModel,fr-FR_BroadbandModel,fr-FR_NarrowbandModel,ja-JP_BroadbandModel,ja-JP_NarrowbandModel,ko-KR_BroadbandModel,ko-KR_NarrowbandModel,pt-BR_BroadbandModel,pt-BR_NarrowbandModel,zh-CN_BroadbandModel,zh-CN_NarrowbandModel]

  Default: en-US_BroadbandModel

• language_customization_id

  str

  The customization ID (GUID) of a custom language model that is to be used for the request. The base model of the specified custom language model must match the model specified with the model parameter. You must make the request with service credentials created for the instance of the service that owns the custom model. Omit the parameter to use the specified model with no custom language model. See Custom models.

  Note: Use this parameter instead of the deprecated customization_id parameter.

• acoustic_customization_id

  str

  The customization ID (GUID) of a custom acoustic model that is to be used for the request. The base model of the specified custom acoustic model must match the model specified with the model parameter. You must make the request with service credentials created for the instance of the service that owns the custom model. Omit the parameter to use the specified model with no custom acoustic model. See Custom models.

• customization_weight

  float

  If you specify a customization ID, 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.

  Specify a value between 0.0 and 1.0. Unless a different customization weight was specified for the custom model when it was trained, the default value is 0.3. A customization weight that you specify overrides a weight that was specified when the custom model was trained.

  The default value yields the best performance in general. Assign a higher value if your audio makes frequent use of OOV words from the custom model. Use caution when setting 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.

  See Custom models.

• base_model_version

  str

  The version of the specified base model that is to be used for the request. Multiple versions of a base model can exist when a model is updated for internal improvements. The parameter is intended primarily for use with custom models that have been upgraded for a new base model. The default value depends on whether the parameter is used with or without a custom model. See Base model version.

• inactivity_timeout

  int

  The time in seconds after which, if only silence (no speech) is detected in submitted audio, the connection is closed. The default is 30 seconds. The parameter is useful for stopping audio submission from a live microphone when a user simply walks away. Use -1 for infinity. See Timeouts.

  Default: 30

• interim_results

  boolean bool

  If true, the service returns interim results as a stream of JSON SpeechRecognitionResults objects. If false, the service returns a single SpeechRecognitionResults object with final results only. See Interim results.

  Default: false

• keywords

  list[str]

  An array of keyword strings to spot in the audio. Each keyword string can include one or more string tokens. Keywords are spotted only in the final results, not in interim hypotheses. If you specify any keywords, you must also specify a keywords threshold. You can spot a maximum of 1000 keywords. Omit the parameter or specify an empty array if you do not need to spot keywords. See Keyword spotting.

• keywords_threshold

  float

  A confidence value that is the lower bound for spotting a keyword. A word is considered to match a keyword if its confidence is greater than or equal to the threshold. Specify a probability between 0.0 and 1.0. No keyword spotting is performed if you omit the parameter. If you specify a threshold, you must also specify one or more keywords. See Keyword spotting.

• max_alternatives

  int

  The maximum number of alternative transcripts that the service is to return. By default, a single transcription is returned. See Maximum alternatives.

  Default: 1

• word_alternatives_threshold

  float

  A confidence value that is the lower bound for identifying a hypothesis as a possible word alternative (also known as "Confusion Networks"). An alternative word is considered if its confidence is greater than or equal to the threshold. Specify a probability between 0.0 and 1.0. No alternative words are computed if you omit the parameter. See Word alternatives.

• word_confidence

  bool

  If true, the service returns a confidence measure in the range of 0.0 to 1.0 for each word. By default, no word confidence measures are returned. See Word confidence.

  Default: false

• timestamps

  bool

  If true, the service returns time alignment for each word. By default, no timestamps are returned. See Word timestamps.

  Default: false

• profanity_filter

  bool

  If true, the service filters profanity from all output except for keyword results by replacing inappropriate words with a series of asterisks. Set the parameter to false to return results with no censoring. Applies to US English transcription only. See Profanity filtering.

• smart_formatting

  bool

  If true, the service converts dates, times, series of digits and numbers, phone numbers, currency values, and internet addresses into more readable, conventional representations in the final transcript of a recognition request. For US English, the service also converts certain keyword strings to punctuation symbols. By default, no smart formatting is performed. Applies to US English, Japanese, and Spanish transcription only. See Smart formatting.

  Default: false

• speaker_labels

  bool

  If true, the response includes labels that identify which words were spoken by which participants in a multi-person exchange. By default, no speaker labels are returned. Specifying true forces the timestampsparameter to be true, regardless of whether you specify false for that parameter.

  To determine whether a language model supports speaker labels, use the Get a modelmethod and check that the attribute speaker_labels is set to true. See Speaker labels.

  Default: false

• http_proxy_host

  str

  If you are passing requests through a proxy, specify the host name of the proxy server. Use the http_proxy_port parameter to specify the port number at which the proxy listens. Omit both parameters if you are not using a proxy.

  Default: None

• http_proxy_port

  str

  If you are passing requests through a proxy, specify the port number at which the proxy service listens. Use the http_proxy_hostparameter to specify the host name of the proxy. Omit both parameters if you are not using a proxy.

  Default: None

• customization_id

  str

  Deprecated. Use thelanguage_customization_id parameter to specify the customization ID (GUID) of a custom language model that is to be used with the request. Do not specify both parameters with a request.

• grammar_name

  str

  The name of a grammar that is to be used with the recognition request. If you specify a grammar, you must also use the parameter to specify the name of the custom language model for which the grammar is defined. The service recognizes only strings that are recognized by the specified grammar; it does not recognize other custom words from the model's words resource. See Grammars.

• redaction

  bool

  If true, the service redacts, or masks, numeric data from final transcripts. The feature redacts any number that has three or more consecutive digits by replacing each digit with an X character. It is intended to redact sensitive numeric data, such as credit card numbers. By default, no redaction is performed.

  When you enable redaction, the service automatically enables smart formatting, regardless of whether you explicitly disable that feature. To ensure maximum security, the service also disables keyword spotting (ignores the keywords and keywords_thresholdparameters) and returns only a single final transcript (forces the max_alternativesparameter to be 1).

  See Numeric redaction.

  Default: false