Update to Rust programming language.
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361
src-tauri/vosk/vosk_api.h
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361
src-tauri/vosk/vosk_api.h
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// Copyright 2020-2021 Alpha Cephei Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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/* This header contains the C API for Vosk speech recognition system */
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#ifndef VOSK_API_H
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#define VOSK_API_H
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#ifdef __cplusplus
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extern "C" {
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#endif
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/** Model stores all the data required for recognition
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* it contains static data and can be shared across processing
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* threads. */
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typedef struct VoskModel VoskModel;
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/** Speaker model is the same as model but contains the data
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* for speaker identification. */
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typedef struct VoskSpkModel VoskSpkModel;
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/** Recognizer object is the main object which processes data.
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* Each recognizer usually runs in own thread and takes audio as input.
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* Once audio is processed recognizer returns JSON object as a string
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* which represent decoded information - words, confidences, times, n-best lists,
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* speaker information and so on */
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typedef struct VoskRecognizer VoskRecognizer;
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/**
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* Batch model object
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*/
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typedef struct VoskBatchModel VoskBatchModel;
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/**
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* Batch recognizer object
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*/
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typedef struct VoskBatchRecognizer VoskBatchRecognizer;
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/** Loads model data from the file and returns the model object
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*
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* @param model_path: the path of the model on the filesystem
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* @returns model object or NULL if problem occured */
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VoskModel *vosk_model_new(const char *model_path);
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/** Releases the model memory
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*
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* The model object is reference-counted so if some recognizer
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* depends on this model, model might still stay alive. When
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* last recognizer is released, model will be released too. */
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void vosk_model_free(VoskModel *model);
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/** Check if a word can be recognized by the model
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* @param word: the word
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* @returns the word symbol if @param word exists inside the model
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* or -1 otherwise.
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* Reminding that word symbol 0 is for <epsilon> */
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int vosk_model_find_word(VoskModel *model, const char *word);
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/** Loads speaker model data from the file and returns the model object
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*
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* @param model_path: the path of the model on the filesystem
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* @returns model object or NULL if problem occured */
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VoskSpkModel *vosk_spk_model_new(const char *model_path);
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/** Releases the model memory
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*
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* The model object is reference-counted so if some recognizer
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* depends on this model, model might still stay alive. When
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* last recognizer is released, model will be released too. */
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void vosk_spk_model_free(VoskSpkModel *model);
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/** Creates the recognizer object
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*
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* The recognizers process the speech and return text using shared model data
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* @param model VoskModel containing static data for recognizer. Model can be
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* shared across recognizers, even running in different threads.
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* @param sample_rate The sample rate of the audio you going to feed into the recognizer.
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* Make sure this rate matches the audio content, it is a common
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* issue causing accuracy problems.
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* @returns recognizer object or NULL if problem occured */
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VoskRecognizer *vosk_recognizer_new(VoskModel *model, float sample_rate);
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/** Creates the recognizer object with speaker recognition
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*
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* With the speaker recognition mode the recognizer not just recognize
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* text but also return speaker vectors one can use for speaker identification
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*
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* @param model VoskModel containing static data for recognizer. Model can be
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* shared across recognizers, even running in different threads.
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* @param sample_rate The sample rate of the audio you going to feed into the recognizer.
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* Make sure this rate matches the audio content, it is a common
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* issue causing accuracy problems.
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* @param spk_model speaker model for speaker identification
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* @returns recognizer object or NULL if problem occured */
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VoskRecognizer *vosk_recognizer_new_spk(VoskModel *model, float sample_rate, VoskSpkModel *spk_model);
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/** Creates the recognizer object with the phrase list
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*
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* Sometimes when you want to improve recognition accuracy and when you don't need
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* to recognize large vocabulary you can specify a list of phrases to recognize. This
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* will improve recognizer speed and accuracy but might return [unk] if user said
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* something different.
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*
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* Only recognizers with lookahead models support this type of quick configuration.
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* Precompiled HCLG graph models are not supported.
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*
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* @param model VoskModel containing static data for recognizer. Model can be
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* shared across recognizers, even running in different threads.
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* @param sample_rate The sample rate of the audio you going to feed into the recognizer.
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* Make sure this rate matches the audio content, it is a common
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* issue causing accuracy problems.
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* @param grammar The string with the list of phrases to recognize as JSON array of strings,
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* for example "["one two three four five", "[unk]"]".
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*
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* @returns recognizer object or NULL if problem occured */
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VoskRecognizer *vosk_recognizer_new_grm(VoskModel *model, float sample_rate, const char *grammar);
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/** Adds speaker model to already initialized recognizer
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*
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* Can add speaker recognition model to already created recognizer. Helps to initialize
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* speaker recognition for grammar-based recognizer.
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*
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* @param spk_model Speaker recognition model */
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void vosk_recognizer_set_spk_model(VoskRecognizer *recognizer, VoskSpkModel *spk_model);
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/** Reconfigures recognizer to use grammar
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*
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* @param recognizer Already running VoskRecognizer
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* @param grammar Set of phrases in JSON array of strings or "[]" to use default model graph.
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* See also vosk_recognizer_new_grm
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*/
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void vosk_recognizer_set_grm(VoskRecognizer *recognizer, char const *grammar);
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/** Configures recognizer to output n-best results
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*
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* <pre>
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* {
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* "alternatives": [
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* { "text": "one two three four five", "confidence": 0.97 },
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* { "text": "one two three for five", "confidence": 0.03 },
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* ]
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* }
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* </pre>
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*
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* @param max_alternatives - maximum alternatives to return from recognition results
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*/
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void vosk_recognizer_set_max_alternatives(VoskRecognizer *recognizer, int max_alternatives);
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/** Enables words with times in the output
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*
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* <pre>
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* "result" : [{
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* "conf" : 1.000000,
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* "end" : 1.110000,
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* "start" : 0.870000,
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* "word" : "what"
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* }, {
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* "conf" : 1.000000,
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* "end" : 1.530000,
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* "start" : 1.110000,
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* "word" : "zero"
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* }, {
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* "conf" : 1.000000,
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* "end" : 1.950000,
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* "start" : 1.530000,
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* "word" : "zero"
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* }, {
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* "conf" : 1.000000,
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* "end" : 2.340000,
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* "start" : 1.950000,
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* "word" : "zero"
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* }, {
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* "conf" : 1.000000,
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* "end" : 2.610000,
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* "start" : 2.340000,
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* "word" : "one"
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* }],
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* </pre>
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*
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* @param words - boolean value
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*/
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void vosk_recognizer_set_words(VoskRecognizer *recognizer, int words);
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/** Like above return words and confidences in partial results
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*
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* @param partial_words - boolean value
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*/
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void vosk_recognizer_set_partial_words(VoskRecognizer *recognizer, int partial_words);
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/** Set NLSML output
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* @param nlsml - boolean value
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*/
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void vosk_recognizer_set_nlsml(VoskRecognizer *recognizer, int nlsml);
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/** Accept voice data
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*
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* accept and process new chunk of voice data
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*
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* @param data - audio data in PCM 16-bit mono format
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* @param length - length of the audio data
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* @returns 1 if silence is occured and you can retrieve a new utterance with result method
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* 0 if decoding continues
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* -1 if exception occured */
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int vosk_recognizer_accept_waveform(VoskRecognizer *recognizer, const char *data, int length);
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/** Same as above but the version with the short data for language bindings where you have
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* audio as array of shorts */
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int vosk_recognizer_accept_waveform_s(VoskRecognizer *recognizer, const short *data, int length);
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/** Same as above but the version with the float data for language bindings where you have
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* audio as array of floats */
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int vosk_recognizer_accept_waveform_f(VoskRecognizer *recognizer, const float *data, int length);
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/** Returns speech recognition result
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*
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* @returns the result in JSON format which contains decoded line, decoded
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* words, times in seconds and confidences. You can parse this result
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* with any json parser
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*
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* <pre>
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* {
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* "text" : "what zero zero zero one"
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* }
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* </pre>
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*
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* If alternatives enabled it returns result with alternatives, see also vosk_recognizer_set_max_alternatives().
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*
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* If word times enabled returns word time, see also vosk_recognizer_set_word_times().
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*/
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const char *vosk_recognizer_result(VoskRecognizer *recognizer);
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/** Returns partial speech recognition
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*
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* @returns partial speech recognition text which is not yet finalized.
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* result may change as recognizer process more data.
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*
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* <pre>
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* {
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* "partial" : "cyril one eight zero"
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* }
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* </pre>
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*/
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const char *vosk_recognizer_partial_result(VoskRecognizer *recognizer);
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/** Returns speech recognition result. Same as result, but doesn't wait for silence
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* You usually call it in the end of the stream to get final bits of audio. It
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* flushes the feature pipeline, so all remaining audio chunks got processed.
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*
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* @returns speech result in JSON format.
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*/
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const char *vosk_recognizer_final_result(VoskRecognizer *recognizer);
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/** Resets the recognizer
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*
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* Resets current results so the recognition can continue from scratch */
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void vosk_recognizer_reset(VoskRecognizer *recognizer);
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/** Releases recognizer object
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*
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* Underlying model is also unreferenced and if needed released */
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void vosk_recognizer_free(VoskRecognizer *recognizer);
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/** Set log level for Kaldi messages
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*
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* @param log_level the level
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* 0 - default value to print info and error messages but no debug
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* less than 0 - don't print info messages
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* greather than 0 - more verbose mode
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*/
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void vosk_set_log_level(int log_level);
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/**
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* Init, automatically select a CUDA device and allow multithreading.
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* Must be called once from the main thread.
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* Has no effect if HAVE_CUDA flag is not set.
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*/
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void vosk_gpu_init();
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/**
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* Init CUDA device in a multi-threaded environment.
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* Must be called for each thread.
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* Has no effect if HAVE_CUDA flag is not set.
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*/
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void vosk_gpu_thread_init();
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/** Creates the batch recognizer object
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*
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* @returns model object or NULL if problem occured */
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VoskBatchModel *vosk_batch_model_new(const char *model_path);
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/** Releases batch model object */
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void vosk_batch_model_free(VoskBatchModel *model);
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/** Wait for the processing */
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void vosk_batch_model_wait(VoskBatchModel *model);
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/** Creates batch recognizer object
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* @returns recognizer object or NULL if problem occured */
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VoskBatchRecognizer *vosk_batch_recognizer_new(VoskBatchModel *model, float sample_rate);
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/** Releases batch recognizer object */
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void vosk_batch_recognizer_free(VoskBatchRecognizer *recognizer);
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/** Accept batch voice data */
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void vosk_batch_recognizer_accept_waveform(VoskBatchRecognizer *recognizer, const char *data, int length);
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/** Set NLSML output
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* @param nlsml - boolean value
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*/
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void vosk_batch_recognizer_set_nlsml(VoskBatchRecognizer *recognizer, int nlsml);
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/** Closes the stream */
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void vosk_batch_recognizer_finish_stream(VoskBatchRecognizer *recognizer);
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/** Return results */
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const char *vosk_batch_recognizer_front_result(VoskBatchRecognizer *recognizer);
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/** Release and free first retrieved result */
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void vosk_batch_recognizer_pop(VoskBatchRecognizer *recognizer);
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/** Get amount of pending chunks for more intelligent waiting */
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int vosk_batch_recognizer_get_pending_chunks(VoskBatchRecognizer *recognizer);
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#ifdef __cplusplus
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}
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#endif
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#endif /* VOSK_API_H */
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