Распознавание голоса и речи на C#

var config = SpeechConfig.FromSubscription("ключ", "регион");
using var recognizer = new SpeechRecognizer(config);
var result = await recognizer.RecognizeOnceAsync();
Console.WriteLine(result.Text);

var config = SpeechConfig.FromSubscription("key", "region");
config.SpeechRecognitionLanguage = "ru-RU";
config.EnableDictation(); // Режим диктовки для длинных фраз
using var recognizer = new SpeechRecognizer(config);
recognizer.Recognizing += (s, e) => {
    // Промежуточные результаты распознавания
    Console.WriteLine($"Распознаётся: {e.Result.Text}");
};

recognizer.Recognized += (s, e) => {
    if (e.Result.Reason == ResultReason.NoMatch)
    {
        // Анализ причины неудачного распознавания
        var details = NoMatchDetails.FromResult(e.Result);
        Logger.LogWarning($"Не распознано: {details.Reason}");
    }
};

public class AudioProcessor
{
    private const int SampleRate = 16000;
    private const int FrameSize = 400; // 25мс при частоте 16кГц
    
    public float[] ProcessFrame(byte[] audioData)
    {
        var samples = ConvertToFloat(audioData);
        var windowed = ApplyWindow(samples);
        return ComputeMFCC(windowed);
    }
}

class AcousticModel
{
    private readonly NeuralNetwork _network;
    private readonly Dictionary<string, HMMState[]> _phonemeModels;
    
    public Phoneme[] DecodeFrame(float[] features)
    {
        var probabilities = _network.Forward(features);
        return ViterbiDecode(probabilities, _phonemeModels);
    }
}

 
public class ParallelFeatureExtractor
{
    public float[] ExtractFeatures(float[] signal)
    {
        return Parallel.For(0, FilterBankCount, i =>
        {
            var filtered = ApplyFilter(signal, _filterBank[i]);
            return ComputeEnergy(filtered);
        }).ToArray();
    }
}

public class CircularAudioBuffer
{
    private readonly float[] _buffer;
    private int _writePosition;
    
    public void Write(float[] data)
    {
        var available = _buffer.Length - _writePosition;
        if (data.Length <= available)
        {
            Array.Copy(data, 0, _buffer, _writePosition, data.Length);
            _writePosition = (_writePosition + data.Length) % _buffer.Length;
        }
        else
        {
            // Обработка переполнения буфера
        }
    }
}

public class LanguageSpecificProcessor
{
    private readonly Dictionary<string, PhonemeSet> _languagePhonemes;
    private readonly Dictionary<string, ReductionRules> _reductionRules;
 
    public string[] ProcessUtterance(string utterance, string language)
    {
        var phonemes = _languagePhonemes[language];
        var rules = _reductionRules[language];
        return ApplyLanguageRules(utterance, phonemes, rules);
    }
}

public class AccentAdaptiveRecognizer
{
    private readonly NeuralNetwork _baseModel;
    private readonly AdaptationLayer _adaptiveLayer;
 
    public void AdaptToSpeaker(float[] speakerFeatures)
    {
        _adaptiveLayer.UpdateWeights(speakerFeatures);
    }
}

public class AudioPipeline
{
    private readonly BlockingCollection<AudioFrame> _frameQueue;
    private readonly ConcurrentDictionary<int, FeatureSet> _featureCache;
 
    public async Task ProcessAudioStream(Stream audioStream)
    {
        await Task.WhenAll(
            DigitizeAudioTask(audioStream),
            ExtractFeaturesTask(),
            RecognizeTask()
        );
    }
}

public class SlidingWindowProcessor
{
    private readonly Queue<float[]> _windowBuffer;
    private readonly int _maxWindowSize;
 
    public void ProcessFrame(float[] frame)
    {
        _windowBuffer.Enqueue(frame);
        while (_windowBuffer.Count > _maxWindowSize)
        {
            _windowBuffer.Dequeue();
        }
        ProcessWindowContent(_windowBuffer.ToArray());
    }
}

public class TransformerBasedRecognizer
{
    private readonly TransformerEncoder _encoder;
    private readonly AttentionMechanism _attention;
 
    public TransformerOutput ProcessSequence(float[][] features)
    {
        var encoded = _encoder.Encode(features);
        return _attention.ApplyAttention(encoded);
    }
}

public class SpeechProcessor 
{
    private readonly SpeechConfig _config;
    private readonly SpeechRecognizer _recognizer;
 
    public SpeechProcessor(string key, string region)
    {
        _config = SpeechConfig.FromSubscription(key, region);
        _recognizer = new SpeechRecognizer(_config);
    }
 
    public async Task<string> RecognizeSpeechAsync()
    {
        var result = await _recognizer.RecognizeOnceAsync();
        return result.Text;
    }
}

public class AdvancedSpeechRecognizer
{
    private readonly SpeechRecognizer _recognizer;
    private readonly ConcurrentQueue<string> _recognizedPhrases;
    private bool _isListening;
 
    public AdvancedSpeechRecognizer(string key, string region, string language)
    {
        var config = SpeechConfig.FromSubscription(key, region);
        config.SpeechRecognitionLanguage = language;
        
        var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
        _recognizer = new SpeechRecognizer(config, audioConfig);
        _recognizedPhrases = new ConcurrentQueue<string>();
        
        SetupRecognitionHandlers();
    }
 
    private void SetupRecognitionHandlers()
    {
        _recognizer.Recognized += (s, e) => {
            if (e.Result.Reason == ResultReason.RecognizedSpeech)
            {
                _recognizedPhrases.Enqueue(e.Result.Text);
            }
        };
 
        _recognizer.Canceled += (s, e) => {
            if (e.Reason == CancellationReason.Error)
            {
                // Обработка ошибок распознавания
                HandleRecognitionError(e.ErrorDetails);
            }
        };
    }
}

public class MultilingualRecognizer 
{
    private readonly Dictionary<string, SpeechRecognizer> _recognizers;
    private string _currentLanguage;
 
    public async Task SwitchLanguageAsync(string newLanguage)
    {
        if (_recognizers.ContainsKey(_currentLanguage))
        {
            await _recognizers[_currentLanguage].StopContinuousRecognitionAsync();
        }
        
        _currentLanguage = newLanguage;
        await _recognizers[newLanguage].StartContinuousRecognitionAsync();
    }
}

public class AudioPreprocessor
{
    private readonly float _threshold;
    private readonly Queue<float> _noiseProfile;
 
    public float[] ProcessAudioChunk(float[] audioData)
    {
        var processedData = new float[audioData.Length];
        
        for (int i = 0; i < audioData.Length; i++)
        {
            var noiseLevel = _noiseProfile.Average();
            processedData[i] = audioData[i] - noiseLevel;
            
            if (Math.Abs(processedData[i]) < _threshold)
            {
                processedData[i] = 0;
            }
        }
        
        return processedData;
    }
}

public class UserProfileManager
{
    private readonly Dictionary<string, UserProfile> _profiles;
    
    public async Task<UserProfile> CreateProfileAsync(string userId, Stream audioSample)
    {
        var profile = new UserProfile(userId);
        await profile.TrainOnAudioAsync(audioSample);
        _profiles[userId] = profile;
        return profile;
    }
}

public class RealTimeProcessor
{
    private readonly CircularBuffer<float> _audioBuffer;
    private readonly int _processChunkSize;
    
    public async Task ProcessStreamAsync(Stream audioStream)
    {
        var buffer = new byte[_processChunkSize];
        int bytesRead;
        
        while ((bytesRead = await audioStream.ReadAsync(buffer)) > 0)
        {
            var samples = ConvertToFloat(buffer, bytesRead);
            _audioBuffer.Write(samples);
            
            if (_audioBuffer.Count >= _processChunkSize)
            {
                ProcessAudioChunk(_audioBuffer.Read(_processChunkSize));
            }
        }
    }
}

public class VoiceCommandSystem
{
    private readonly Dictionary<string, Action> _commands;
    
    public VoiceCommandSystem()
    {
        _commands = new Dictionary<string, Action>();
        RegisterBasicCommands();
    }
    
    public void RegisterCommand(string phrase, Action action)
    {
        var normalizedPhrase = NormalizePhrase(phrase);
        _commands[normalizedPhrase] = action;
    }
    
    public void ProcessCommand(string recognizedText)
    {
        var normalized = NormalizePhrase(recognizedText);
        if (_commands.TryGetValue(normalized, out var action))
        {
            action();
        }
    }
}

public class FeedbackManager
{
    private readonly IUserInterface _ui;
    private readonly SoundPlayer _soundPlayer;
    
    public void ProvideFeedback(RecognitionResult result)
    {
        switch (result.Confidence)
        {
            case var c when c > 0.9f:
                _soundPlayer.PlaySuccessSound();
                _ui.ShowRecognizedText(result.Text, Color.Green);
                break;
            case var c when c > 0.7f:
                _ui.ShowRecognizedText(result.Text, Color.Yellow);
                break;
            default:
                _ui.RequestClarification();
                break;
        }
    }
}

public class CommandMatcher
{
    private readonly List<string> _knownCommands;
    
    public string FindBestMatch(string recognized)
    {
        return _knownCommands
            .OrderBy(cmd => ComputeLevenshteinDistance(recognized, cmd))
            .FirstOrDefault();
    }
}

public class AdaptiveRecognitionSystem
{
    private readonly Dictionary<string, float[]> _userPatterns;
    private readonly NeuralNetwork _adaptiveNetwork;
 
    public async Task AdaptToUserSpeech(string userId, AudioStream stream)
    {
        var features = await ExtractSpeechFeatures(stream);
        _userPatterns[userId] = features;
        await _adaptiveNetwork.TrainOnFeatures(features);
    }
 
    private async Task<float[]> ExtractSpeechFeatures(AudioStream stream)
    {
        var processor = new SpeechFeatureExtractor();
        return await processor.ExtractFeaturesAsync(stream);
    }
}

public class ContextualRecognizer
{
    private readonly Queue<RecognizedPhrase> _contextWindow;
    private readonly int _maxContextSize;
 
    public string RecognizeWithContext(string currentPhrase)
    {
        var context = _contextWindow.ToList();
        var result = ApplyContextualCorrection(currentPhrase, context);
        
        _contextWindow.Enqueue(new RecognizedPhrase(result));
        if (_contextWindow.Count > _maxContextSize)
            _contextWindow.Dequeue();
            
        return result;
    }
}

public class NeuralEnhancedRecognizer
{
    private readonly IModel _pretrainedModel;
    private readonly AudioFeatureExtractor _featureExtractor;
 
    public async Task<string> EnhanceRecognition(AudioData audioData)
    {
        var features = _featureExtractor.Extract(audioData);
        var enhancedFeatures = await _pretrainedModel.ProcessAsync(features);
        return DecodeToText(enhancedFeatures);
    }
}

public class HomophoneHandler
{
    private readonly Dictionary<string, List<string>> _homophones;
    private readonly FrequencyAnalyzer _frequencyAnalyzer;
 
    public string ResolvePossibleHomophone(string word, string[] context)
    {
        if (!_homophones.ContainsKey(word))
            return word;
 
        var candidates = _homophones[word];
        return _frequencyAnalyzer.SelectMostProbable(candidates, context);
    }
}

public class IndustrySpecificVocabulary
{
    private readonly Dictionary<string, CommandInfo> _specializedCommands;
    private readonly PriorityQueue<string> _frequentCommands;
 
    public void RegisterCommand(string command, CommandInfo info)
    {
        _specializedCommands[command] = info;
        _frequentCommands.UpdatePriority(command, info.UsageCount);
    }
 
    public CommandInfo GetCommandInfo(string recognizedText)
    {
        return _specializedCommands.GetValueOrDefault(
            FindClosestMatch(recognizedText)
        );
    }
}

public class PhoneticAnalyzer 
{
    private readonly PhoneticEncoder _encoder;
    private readonly Dictionary<string, List<string>> _phoneticIndex;
 
    public string[] FindPhoneticMatches(string input)
    {
        var phoneticCode = _encoder.Encode(input);
        return _phoneticIndex.TryGetValue(phoneticCode, out var matches)
            ? matches.ToArray()
            : Array.Empty<string>();
    }
}

public class SpeechStreamHandler
{
    private readonly TimeSpan _pauseThreshold;
    private DateTime _lastSpeechTimestamp;
    private StringBuilder _currentUtterance;
 
    public void HandleAudioChunk(AudioChunk chunk)
    {
        if (IsSpeech(chunk))
        {
            _lastSpeechTimestamp = DateTime.Now;
            _currentUtterance.Append(ProcessChunk(chunk));
        }
        else if (DateTime.Now - _lastSpeechTimestamp > _pauseThreshold)
        {
            FinalizeUtterance();
        }
    }
}

public class MemoryOptimizedRecognizer
{
    private readonly MemoryPool<byte> _audioBufferPool;
    private readonly int _maxBufferSize;
 
    public IMemoryOwner<byte> RentBuffer()
    {
        return _audioBufferPool.Rent(_maxBufferSize);
    }
 
    public void ProcessAudioChunk(ReadOnlyMemory<byte> chunk)
    {
        using var buffer = RentBuffer();
        chunk.CopyTo(buffer.Memory);
        ProcessBuffer(buffer.Memory);
    }
}

public class ErrorCorrectionSystem
{
    private readonly Dictionary<string, string> _commonErrors;
    private readonly LevenshteinCalculator _levenshtein;
 
    public string AutoCorrect(string recognized)
    {
        if (_commonErrors.TryGetValue(recognized, out var correction))
            return correction;
 
        return _levenshtein.FindClosestMatch(recognized, _commonErrors.Keys);
    }
}

public class RecognitionLogger
{
    private readonly ILogger _logger;
    private readonly MetricsCollector _metrics;
 
    public async Task LogRecognitionResult(RecognitionResult result)
    {
        await _logger.LogAsync(new RecognitionEvent
        {
            Text = result.Text,
            Confidence = result.Confidence,
            Duration = result.Duration,
            Timestamp = DateTime.UtcNow
        });
 
        _metrics.TrackRecognitionQuality(result.Confidence);
    }
}

public class ComplexCommandProcessor
{
    private readonly ICommandHandler[] _handlers;
    private readonly CommandContext _context;
 
    public async Task<CommandResult> ProcessComplexCommand(string command)
    {
        var tokens = TokenizeCommand(command);
        foreach (var handler in _handlers)
        {
            var result = await handler.TryHandle(tokens, _context);
            if (result.Success)
                return result;
        }
        return CommandResult.Unrecognized;
    }
}

public class VoiceProfile
{
    private readonly Dictionary<string, float[]> _voiceCharacteristics;
    private readonly AdaptiveThreshold _noiseThreshold;
 
    public async Task UpdateProfile(AudioStream speech)
    {
        var features = await ExtractVoiceFeatures(speech);
        _voiceCharacteristics["pitch"] = features.PitchProfile;
        _voiceCharacteristics["timbre"] = features.TimbreProfile;
        _noiseThreshold.Adapt(features.NoiseLevel);
    }
}

public class AudioStreamActor
{
    private readonly Channel<AudioFrame> _frameChannel;
    private readonly IActorRef _processingActor;
 
    public async Task ProcessStreamAsync(AudioStream stream)
    {
        await foreach (var frame in stream.ReadFramesAsync())
        {
            await _frameChannel.Writer.WriteAsync(frame);
            await _processingActor.Tell(new ProcessFrame(frame));
        }
    }
}

public class TransformerEnhancedRecognizer
{
    private readonly TransformerModel _model;
    private readonly TokenEncoder _encoder;
 
    public async Task<string> EnhanceRecognition(string basicResult)
    {
        var tokens = _encoder.Encode(basicResult);
        var enhanced = await _model.ProcessSequence(tokens);
        return _encoder.Decode(enhanced);
    }
}

public class DialogStateManager
{
    private readonly StateMachine<DialogState, DialogTrigger> _machine;
 
    public DialogStateManager()
    {
        _machine = new StateMachine<DialogState, DialogTrigger>(DialogState.Initial);
        ConfigureTransitions();
    }
 
    private void ConfigureTransitions()
    {
        _machine.Configure(DialogState.Initial)
            .Permit(DialogTrigger.CommandReceived, DialogState.AwaitingConfirmation)
            .Permit(DialogTrigger.Help, DialogState.Help);
    }
}

public class IntentRecognizer
{
    private readonly SemanticAnalyzer _analyzer;
    private readonly Dictionary<string, float> _intentScores;
 
    public Intent RecognizeIntent(string utterance)
    {
        var semanticVector = _analyzer.CreateVector(utterance);
        return _intentScores
            .OrderByDescending(kv => CosineSimilarity(semanticVector, kv.Value))
            .First().Key;
    }
}

public class VoicePipeline
{
    private readonly TransformBlock<AudioFrame, Features> _featureExtractor;
    private readonly TransformBlock<Features, Text> _recognizer;
    private readonly ActionBlock<Text> _processor;
 
    public VoicePipeline()
    {
        _featureExtractor = new TransformBlock<AudioFrame, Features>(
            frame => ExtractFeatures(frame),
            new ExecutionDataflowBlockOptions { MaxDegreeOfParallelism = 4 }
        );
 
        _recognizer = new TransformBlock<Features, Text>(
            features => RecognizeText(features)
        );
 
        _processor = new ActionBlock<Text>(
            text => ProcessRecognizedText(text)
        );
 
        _featureExtractor.LinkTo(_recognizer);
        _recognizer.LinkTo(_processor);
    }
}

public class AdaptiveLanguageModel
{
    private readonly Dictionary<string, float> _wordProbabilities;
    private readonly LearningRate _adaptationRate;
    
    public void AdaptToUtterance(string utterance)
    {
        var words = TokenizeAndNormalize(utterance);
        foreach (var word in words)
        {
            if (_wordProbabilities.ContainsKey(word))
            {
                _wordProbabilities[word] += _adaptationRate.Current;
            }
            else
            {
                _wordProbabilities[word] = _adaptationRate.Initial;
            }
        }
        _adaptationRate.Update();
    }
}

public class NoiseResilientRecognizer
{
    private readonly IEnumerable<ISpeechModel> _models;
    private readonly IVoteAggregator _aggregator;
 
    public async Task<string> RecognizeInNoise(AudioStream audio)
    {
        var results = await Task.WhenAll(
            _models.Select(m => m.RecognizeAsync(audio))
        );
        
        return _aggregator.AggregateVotes(results);
    }
}

public class EmotionAnalyzer
{
    private readonly ProsodyExtractor _prosodyExtractor;
    private readonly EmotionClassifier _classifier;
 
    public Emotion AnalyzeEmotion(AudioFrame frame)
    {
        var prosody = _prosodyExtractor.Extract(frame);
        return _classifier.Classify(new EmotionalFeatures
        {
            Pitch = prosody.Pitch,
            Energy = prosody.Energy,
            SpeakingRate = prosody.SpeakingRate
        });
    }
}

public class SpeechStateMachine
{
    private State _currentState;
    private readonly TimeSpan _pauseThreshold;
    
    private enum State
    {
        Idle,
        Listening,
        Processing,
        WaitingForContinuation
    }
    
    public void ProcessAudioChunk(AudioChunk chunk)
    {
        switch (_currentState)
        {
            case State.Idle when DetectSpeech(chunk):
                StartListening();
                break;
            case State.Listening when DetectPause(chunk):
                ProcessUtterance();
                break;
        }
    }
}

public class DialogContextManager
{
    private readonly Stack<DialogContext> _contextStack;
    private readonly IntentMatcher _intentMatcher;
    
    public async Task<DialogResponse> ProcessUtterance(string utterance)
    {
        var currentContext = _contextStack.Peek();
        var intent = await _intentMatcher.MatchIntent(utterance, currentContext);
        
        return intent.RequiresNewContext
            ? PushNewContext(intent)
            : ProcessInCurrentContext(intent);
    }
}

public class AudioBufferPool
{
    private readonly ConcurrentBag<AudioBuffer> _pool;
    private readonly int _bufferSize;
    
    public AudioBuffer Rent()
    {
        return _pool.TryTake(out var buffer)
            ? buffer
            : new AudioBuffer(_bufferSize);
    }
    
    public void Return(AudioBuffer buffer)
    {
        buffer.Clear();
        _pool.Add(buffer);
    }
}

public class IndustrialVoiceControl
{
    private readonly NoiseReducer _noiseReducer;
    private readonly CommandRecognizer _recognizer;
    private readonly CommandValidator _validator;
 
    public async Task<CommandResult> ProcessCommand(AudioStream audio)
    {
        var cleanAudio = await _noiseReducer.CleanIndustrialNoise(audio);
        var candidates = await _recognizer.GetTopCandidates(cleanAudio, 3);
        return _validator.SelectMostProbable(candidates);
    }
}

public class MedicalTranscriptionSystem 
{
    private readonly Dictionary<string, float> _medicalTerms;
    private readonly ContextAnalyzer _context;
 
    public string TranscribeTerm(string recognized)
    {
        var normalized = NormalizeTerm(recognized);
        return _medicalTerms.ContainsKey(normalized)
            ? _medicalTerms[normalized].ToString()
            : _context.GuessFromContext(normalized);
    }
}

public class EmotionalStateDetector
{
    private readonly ProsodyAnalyzer _prosody;
    private readonly EmotionClassifier _classifier;
 
    public EmotionalState AnalyzeCall(AudioStream call)
    {
        var features = _prosody.ExtractFeatures(call);
        return _classifier.ClassifyEmotion(features);
    }
}

public class SmartHomeVoiceControl
{
    private readonly Dictionary<string, DeviceContext> _deviceContexts;
    private readonly CommandInterpreter _interpreter;
 
    public async Task ExecuteContextualCommand(string command)
    {
        var context = _deviceContexts.Values
            .OrderByDescending(c => c.LastUsed)
            .First();
            
        await _interpreter.ExecuteInContext(command, context);
    }
}

public class EducationalVoiceAssistant
{
    private readonly AccentAdapter _accentAdapter;
    private readonly AgeGroupClassifier _ageClassifier;
 
    public async Task<string> AdaptiveRecognize(AudioStream speech)
    {
        var ageGroup = _ageClassifier.ClassifyAge(speech);
        return await _accentAdapter.RecognizeWithAge(speech, ageGroup);
    }
}

public class AccessibleVoiceInterface
{
    private readonly PauseDetector _pauseDetector;
    private readonly IntentionAnalyzer _intentAnalyzer;
 
    public async Task ProcessAccessibleInput(AudioStream input)
    {
        var segments = await _pauseDetector.SegmentByNaturalPauses(input);
        foreach (var segment in segments)
        {
            await _intentAnalyzer.ProcessSegment(segment);
        }
    }
}

public class LanguageSwitchDetector
{
    private readonly Dictionary<string, float[]> _languageProfiles;
    
    public string DetectLanguageSwitch(AudioFrame frame)
    {
        var features = ExtractFeatures(frame);
        // Попытка определить язык часто даёт неоднозначные результаты
        return _languageProfiles
            .OrderByDescending(p => CosineSimilarity(features, p.Value))
            .First().Key;
    }
}