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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def recognize(self, audio, model=None, language_customization_id=None, acoustic_customization_id=None, base_model_version=None, customization_weight=None, inactivity_timeout=None, keywords=None, keywords_threshold=None, max_alternatives=None, word_alternatives_threshold=None, word_confidence=None, timestamps=None, profanity_filter=None, smart_formatting=None, speaker_labels=None, customization_id=None, grammar_name=None, redaction=None, content_type=None, **kwargs):
 """ Recognize audio. Sends audio and returns transcription results for a recognition request. You can pass a maximum of 100 MB and a minimum of 100 bytes of audio with a request. The service automatically detects the endianness of the incoming audio and, for audio that includes multiple channels, downmixes the audio to one-channel mono during transcoding. The method returns only final results; to enable interim results, use the WebSocket API. **See also:** [Making a basic HTTP request](https://cloud.ibm.com/docs/services/speech-to-text/http.html#HTTP-basic). ### Streaming mode For requests to transcribe live audio as it becomes available, you must set the `Transfer-Encoding` header to `chunked` to use streaming mode. In streaming mode, the service closes the connection (status code 408) if it does not receive at least 15 seconds of audio (including silence) in any 30-second period. The service also closes the connection (status code 400) if it detects no speech for `inactivity_timeout` seconds of streaming audio; use the `inactivity_timeout` parameter to change the default of 30 seconds. **See also:** * [Audio transmission](https://cloud.ibm.com/docs/services/speech-to-text/input.html#transmission) * [Timeouts](https://cloud.ibm.com/docs/services/speech-to-text/input.html#timeouts) ### Audio formats (content types) The service accepts audio in the following formats (MIME types). * For formats that are labeled **Required**, you must use the `Content-Type` header with the request to specify the format of the audio. * For all other formats, you can omit the `Content-Type` header or specify `application/octet-stream` with the header to have the service automatically detect the format of the audio. (With the `curl` command, you can specify either `\"Content-Type:\"` or `\"Content-Type: application/octet-stream\"`.) Where indicated, the format that you specify must include the sampling rate and can optionally include the number of channels and the endianness of the audio. * `audio/alaw` (**Required.** Specify the sampling rate (`rate`) of the audio.) * `audio/basic` (**Required.** Use only with narrowband models.) * `audio/flac` * `audio/g729` (Use only with narrowband models.) * `audio/l16` (**Required.** Specify the sampling rate (`rate`) and optionally the number of channels (`channels`) and endianness (`endianness`) of the audio.) * `audio/mp3` * `audio/mpeg` * `audio/mulaw` (**Required.** Specify the sampling rate (`rate`) of the audio.) * `audio/ogg` (The service automatically detects the codec of the input audio.) * `audio/ogg;codecs=opus` * `audio/ogg;codecs=vorbis` * `audio/wav` (Provide audio with a maximum of nine channels.) * `audio/webm` (The service automatically detects the codec of the input audio.) * `audio/webm;codecs=opus` * `audio/webm;codecs=vorbis` The sampling rate of the audio must match the sampling rate of the model for the recognition request: for broadband models, at least 16 kHz; for narrowband models, at least 8 kHz. If the sampling rate of the audio is higher than the minimum required rate, the service down-samples the audio to the appropriate rate. If the sampling rate of the audio is lower than the minimum required rate, the request fails. **See also:** [Audio formats](https://cloud.ibm.com/docs/services/speech-to-text/audio-formats.html). ### Multipart speech recognition **Note:** The Watson SDKs do not support multipart speech recognition. The HTTP `POST` method of the service also supports multipart speech recognition. With multipart requests, you pass all audio data as multipart form data. You specify some parameters as request headers and query parameters, but you pass JSON metadata as form data to control most aspects of the transcription. The multipart approach is intended for use with browsers for which JavaScript is disabled or when the parameters used with the request are greater than the 8 KB limit imposed by most HTTP servers and proxies. You can encounter this limit, for example, if you want to spot a very large number of keywords. **See also:** [Making a multipart HTTP request](https://cloud.ibm.com/docs/services/speech-to-text/http.html#HTTP-multi). :param file audio: The audio to transcribe. :param str model: The identifier of the model that is to be used for the recognition request. See [Languages and models](https://cloud.ibm.com/docs/services/speech-to-text/models.html). :param str language_customization_id: The customization ID (GUID) of a custom language model that is to be used with the recognition 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 credentials for the instance of the service that owns the custom model. By default, no custom language model is used. See [Custom models](https://cloud.ibm.com/docs/services/speech-to-text/input.html#custom-input). **Note:** Use this parameter instead of the deprecated `customization_id` parameter. :param str acoustic_customization_id: The customization ID (GUID) of a custom acoustic model that is to be used with the recognition 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 credentials for the instance of the service that owns the custom model. By default, no custom acoustic model is used. See [Custom models](https://cloud.ibm.com/docs/services/speech-to-text/input.html#custom-input). :param str base_model_version: The version of the specified base model that is to be used with recognition 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](https://cloud.ibm.com/docs/services/speech-to-text/input.html#version). :param float customization_weight: If you specify the customization ID (GUID) of a custom language model with the recognition request, the customization weight tells 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](https://cloud.ibm.com/docs/services/speech-to-text/input.html#custom-input). :param int inactivity_timeout: The time in seconds after which, if only silence (no speech) is detected in streaming audio, the connection is closed with a 400 error. The parameter is useful for stopping audio submission from a live microphone when a user simply walks away. Use `-1` for infinity. See [Inactivity timeout](https://cloud.ibm.com/docs/services/speech-to-text/input.html#timeouts-inactivity). :param list[str] keywords: 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](https://cloud.ibm.com/docs/services/speech-to-text/output.html#keyword_spotting). :param float keywords_threshold: 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. If you specify a threshold, you must also specify one or more keywords. The service performs no keyword spotting if you omit either parameter. See [Keyword spotting](https://cloud.ibm.com/docs/services/speech-to-text/output.html#keyword_spotting). :param int max_alternatives: The maximum number of alternative transcripts that the service is to return. By default, the service returns a single transcript. If you specify a value of `0`, the service uses the default value, `1`. See [Maximum alternatives](https://cloud.ibm.com/docs/services/speech-to-text/output.html#max_alternatives). :param float word_alternatives_threshold: 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. By default, the service computes no alternative words. See [Word alternatives](https://cloud.ibm.com/docs/services/speech-to-text/output.html#word_alternatives). :param bool word_confidence: If `true`, the service returns a confidence measure in the range of 0.0 to 1.0 for each word. By default, the service returns no word confidence scores. See [Word confidence](https://cloud.ibm.com/docs/services/speech-to-text/output.html#word_confidence). :param bool timestamps: If `true`, the service returns time alignment for each word. By default, no timestamps are returned. See [Word timestamps](https://cloud.ibm.com/docs/services/speech-to-text/output.html#word_timestamps). :param bool profanity_filter: 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](https://cloud.ibm.com/docs/services/speech-to-text/output.html#profanity_filter). :param bool smart_formatting: 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, the service performs no smart formatting. **Note:** Applies to US English, Japanese, and Spanish transcription only. See [Smart formatting](https://cloud.ibm.com/docs/services/speech-to-text/output.html#smart_formatting). :param bool speaker_labels: If `true`, the response includes labels that identify which words were spoken by which participants in a multi-person exchange. By default, the service returns no speaker labels. Setting `speaker_labels` to `true` forces the `timestamps` parameter to be `true`, regardless of whether you specify `false` for the parameter. **Note:** Applies to US English, Japanese, and Spanish transcription only. To determine whether a language model supports speaker labels, you can also use the **Get a model** method and check that the attribute `speaker_labels` is set to `true`. See [Speaker labels](https://cloud.ibm.com/docs/services/speech-to-text/output.html#speaker_labels). :param str customization_id: **Deprecated.** Use the `language_customization_id` parameter to specify the customization ID (GUID) of a custom language model that is to be used with the recognition request. Do not specify both parameters with a request. :param str grammar_name: The name of a grammar that is to be used with the recognition request. If you specify a grammar, you must also use the `language_customization_id` 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](https://cloud.ibm.com/docs/services/speech-to-text/input.html#grammars-input). :param bool redaction: 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, the service performs no redaction. 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_threshold` parameters) and returns only a single final transcript (forces the `max_alternatives` parameter to be `1`). **Note:** Applies to US English, Japanese, and Korean transcription only. See [Numeric redaction](https://cloud.ibm.com/docs/services/speech-to-text/output.html#redaction). :param str content_type: The format (MIME type) of the audio. For more information about specifying an audio format, see **Audio formats (content types)** in the method description. :param dict headers: A `dict` containing the request headers :return: A `DetailedResponse` containing the result, headers and HTTP status code. :rtype: DetailedResponse """


        if audio is None:
            raise ValueError('audio must be provided')

        headers = {'Content-Type': content_type}
        if 'headers' in kwargs:
            headers.update(kwargs.get('headers'))
        sdk_headers = get_sdk_headers('speech_to_text', 'V1', 'recognize')
        headers.update(sdk_headers)

        params = {
            'model': model,
            'language_customization_id': language_customization_id,
            'acoustic_customization_id': acoustic_customization_id,
            'base_model_version': base_model_version,
            'customization_weight': customization_weight,
            'inactivity_timeout': inactivity_timeout,
            'keywords': self._convert_list(keywords),
            'keywords_threshold': keywords_threshold,
            'max_alternatives': max_alternatives,
            'word_alternatives_threshold': word_alternatives_threshold,
            'word_confidence': word_confidence,
            'timestamps': timestamps,
            'profanity_filter': profanity_filter,
            'smart_formatting': smart_formatting,
            'speaker_labels': speaker_labels,
            'customization_id': customization_id,
            'grammar_name': grammar_name,
            'redaction': redaction
        }

        data = audio

        url = '/v1/recognize'
        response = self.request(
            method='POST',
            url=url,
            headers=headers,
            params=params,
            data=data,
            accept_json=True)
        return response