声音和编程音频硬件，以及各种音频格式或容器。有关声音播放的特定问题，请使用[音频播放器]或[播放]，对于录音特定的问题，请使用[录音]或[录音]。
我正在尝试使用Naudio库在C＃中编写代码。这包括记录麦克风的音频并将其发送到云API。 API方法接收一个内存。将记录的文件加载到新的MemoryStream中时，我可以成功地使其正常工作。
是A C＃（非常）初学者开发人员，我正在使用Naudio库中的出色样本，并尝试将录制字节直接保存到以下记忆流中：
Naudio：捕获微型扇形音频并保存到C＃MemoryStream作为WAVE格式
var recResult = speechToText.Recognize( audio: new MemoryStream(File.ReadAllBytes("audio-file.wav")), model: "pt-BR_Multimedia", contentType: "audio/wav");
有什么简单的方法可以从MP4文件中提取MP3文件？ 我已经尝试更改文件扩展名，但是这不能让我编辑MP3描述。 谢谢！
P.S。这是我为什么要这样做的背景： 我想自动将歌曲自动采样，而不必用DAW手动切碎它们。我要做的就是将歌曲的第一个节拍与我的DAW中的节拍网格相结合，然后导出该音频文件，然后使用它来在FFMPEG中生成一条杆循环。
我在3D中做一个小型汽车游戏。例如，我想要玩家时，请按速度，他首先和之后的声音开始。但是，循环中的开始只有一次和速度。 我的html： <
我正在尝试使用XML样式表为我的RSS XML添加HTML音频播放器。这是通过添加
<?xml version="1.0" encoding="utf-8"?> <xsl:stylesheet version="2.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"> <xsl:output method="html" version="1.0" encoding="ISO-8859-1" indent="yes"/> <xsl:template match="/"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <title><xsl:value-of select="/rss/channel/title"/> - RSS</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <style type="text/css"> @import url('https://fonts.googleapis.com/css?family=Montserrat:300,400,500,600'); @import url("https://use.fontawesome.com/releases/v5.8.1/css/all.css"); body { font-family: 'Montserrat', sans-serif; font-size: 14px; color: #545454; background: #E5E5E5; line-height: 1.5; } .explanation { font-style: italic; font-size: 10px; color: #9E9E9E; text-align: center; } a, a:link, a:visited { color: #005C82; text-decoration: none; } a:hover { color: #000; } h1 { margin-top: 0; margin-bottom: 0; font-weight: 300; font-size: xx-large; } h2, h3 { margin-top: 0; margin-bottom: 0px; font-weight:300; } h2 { margin-top: 20px; } h3 { font-size:small; font-weight: 500; } img { max-width: 100%; } #content { max-width: 900px; margin: 0 auto; background: #FFF; padding: 30px; border-radius: 1em; padding-top: 0px; box-shadow: 0px 0px 2px #5D5D5D; } #channel-image { float: right; width: 200px; margin-bottom: 20px; } #channel-image img { width: 200px; height: auto; border-radius: 3px; margin-left: 10px; } #channel-header { margin-bottom: 20px; padding-top: 20px; margin-left: -10px; } .channel-item { clear: both; border-top: 2px solid #E5E5E5; margin: 10px; overflow-wrap: break-word; word-wrap: break-word; hyphens: auto; } .episode-image { float: right; width: 300px; margin-right: 10px; margin-bottom: 10px; margin-top: 10px; } .episode-image img { width: 300px; height: auto; border-radius: 5px; } .episode-title { margin-bottom:20px; } .episode_meta { font-size: 11px; font-weight: 500; margin-top: 20px; margin-bottom: 10px; } .channel-description { margin-bottom: 10px; overflow-wrap: break-word; word-wrap: break-word; hyphens: auto; } .channel-copyright { text-align: center; margin: 10px; font-size: small; } .channel-author { font-size: small; font-weight: 600; margin-bottom: 10px; } .channel-subtitle { font-size: small; font-weight: 500; margin-bottom: 20px; } .fa, .far, .fas { font-family: "Font Awesome 5 Free"; margin-left: 5px; margin-right: 5px; display: initial; } </style> </head> <body> <p class="explanation"> This is a podcast RSS feed generated by <xsl:value-of select="/rss/channel/generator"/>. It is meant for consumption by podcast feed readers using the URL in the address bar. </p> <div id="content"> <div id="channel-header"> <h1> <xsl:if test="/rss/channel/image"> <div id="channel-image"> <img> <xsl:attribute name="src"> <xsl:value-of select="/rss/channel/image/url"/> </xsl:attribute> <xsl:attribute name="title"> <xsl:value-of select="/rss/channel/image/title"/> </xsl:attribute> </img> </div> </xsl:if> <xsl:value-of select="/rss/channel/title"/> </h1> <div class="channel-subtitle"> <xsl:value-of select="/rss/channel/itunes:subtitle" disable-output-escaping="yes"/> </div> <div class="channel-description"> <xsl:value-of select="/rss/channel/description" disable-output-escaping="yes"/> </div> <div class="channel-author"> <xsl:value-of select="/rss/channel/itunes:author" disable-output-escaping="yes"/> <a style="font-size: large;font-weight: 600;"> <xsl:attribute name="href"> <xsl:value-of select="/rss/channel/link"/> </xsl:attribute> <xsl:attribute name="target">_blank</xsl:attribute> <i class="fas fa-globe"></i> </a> </div> </div> <xsl:for-each select="/rss/channel/item"> <div class="channel-item"> <div class="episode-title"> <h2> <a> <xsl:attribute name="href"> <xsl:value-of select="link"/> </xsl:attribute> <xsl:attribute name="target">_blank</xsl:attribute> <xsl:value-of select="title"/> </a> <div class="episode-image"> <img> <xsl:attribute name="src"> <xsl:value-of select="itunes:image/@href"/> </xsl:attribute> <xsl:attribute name="title"> <xsl:value-of select="title"/> </xsl:attribute> </img> </div> </h2> <h3> <xsl:if test="itunes:author"> <xsl:value-of select="itunes:author" disable-output-escaping="yes"/> </xsl:if> </h3> </div> <div class="episode-description"> <xsl:if test="description"> <p> <xsl:value-of select="description" disable-output-escaping="yes"/> </p> </xsl:if> </div> <p class="episode_meta"> <a> <xsl:attribute name="href"> <xsl:value-of select="enclosure/@url"/>?ref=new_window </xsl:attribute> <xsl:attribute name="target">_blank</xsl:attribute> <i class="fas fa-download"></i> <xsl:value-of select='format-number(number(enclosure/@length div "1024000"),"0.0")'/>MB </a> | <i class="fas fa-stopwatch"></i> <xsl:value-of select="itunes:duration" disable-output-escaping="yes"/> | <i class="far fa-calendar"></i> <xsl:value-of select="pubDate" /> </p> </div> </xsl:for-each> </div> <div class="channel-copyright"> Ⓒ <xsl:value-of select="/rss/channel/copyright"/> </div> </body> </html> </xsl:template> </xsl:stylesheet> 对于初学者，我想知道这是否是犹太洁食，还是有更好的方法来通过在XSL文件中添加音频播放器，该音频播放器对于每个帖子都会播放封闭式的帖子是动态的：url。 ＃noob 您可以在模板中添加类似的东西： <audio controls="controls" src="{enclosure/@url}" preload="none"></audio> 这将是更一般的，因为它即使对于没有音频播放器标签的供稿也可以。 这种使用controls="controls"而不是仅仅用来使其形成良好的XML。
我使用以下[Visual Basic .NET]代码播放音频文件： dim waveOutdevice as naudio.wave.iwaveplayer = new naudio.wave.wave.waveout dim mainOutputstream作为naudio.wave.waveStream 昏暗的音量...
，但是，我不知道它用哪种方法在两个AAC流之间选择。它只是选择最低流索引的一个吗？它是否尝试根据流的标记语言过滤？它是否评估了连接的硬件并考虑到频道（例如，连接适当的硬件时选择5.1流）？ 我是否会感谢任何人是否可以链接到有关上述文件的任何文档。我一直在搜索数小时，但还没有设法找到任何东西。或者，除此之外，分享您的经验。理想情况下，我希望能够以一种在支持时使用我的“首选”流的方式来构建音频流，并且在兼容性较差时逐渐使用较差的流作为后备。
因此，我在iOS中的麦克风/线路中获取数据时在这里遇到了一些麻烦。我能够将所有内容设置为我认为还可以的一切，并且正在称呼我的录音，但是...
google文字对语音和语音的文字和言语的语音诊断 我正在为我的学生设计一个python数学项目，其中有一个主题，例如圆的属性，他们应该能够要求与AI互动以在他们的任何东西上获得帮助...
`# Initialize Dialogflow, TTS, and Speech clients DIALOGFLOW_PROJECT_ID = 'your-dialogflow-project-id' DIALOGFLOW_LANGUAGE_CODE = 'en-GB' SESSION_ID = 'unique-session-id' DIALOGFLOW_CLIENT = dialogflow.SessionsClient() SESSION = DIALOGFLOW_CLIENT.session_path(DIALOGFLOW_PROJECT_ID, SESSION_ID) TTS_CLIENT = texttospeech.TextToSpeechClient() speech_client = speech.SpeechClient() logger = logging.getLogger(__name__) # Define a timeout duration (e.g., 60 seconds) INTERACTION_TIMEOUT = 60 # seconds def circle_view(request): return render(request, 'pdf/circle.html') @csrf_exempt def start_interaction(request): if request.method == 'POST': # Initialize session variables request.session['current_part'] = 'circumference' request.session['completed_parts'] = { 'circumference': False, 'radius': False, 'diameter': False } request.session['last_interaction'] = time.time() request.session['awaiting_ai_response'] = False # New session variable welcome_prompt = """ Welcome to the circle section of AI Maths! We'll be learning about three key parts of a circle: the circumference, the radius, and the diameter. You can ask questions anytime you're unsure. """ instruction_prompt = """ Let's start by identifying the circumference. Please click on the circumference line in the diagram. """ full_prompt = welcome_prompt + instruction_prompt return generate_speech_response(full_prompt, speaker='AI', request=request) return JsonResponse({'error': 'Invalid request method'}, status=405) @csrf_exempt @csrf_exempt def handle_circle_click(request): if request.method == 'POST': # Reset flag indicating we are not waiting for an AI response request.session['awaiting_ai_response'] = False logger.debug("Resetting awaiting_ai_response flag to False.") # Check if interaction has timed out last_interaction = request.session.get('last_interaction', 0) if time.time() - last_interaction > INTERACTION_TIMEOUT: return JsonResponse({'error': 'Interaction timeout. Please restart the interaction.'}, status=408) # Update last interaction time request.session['last_interaction'] = time.time() # Process the request try: data = json.loads(request.body) element_id = data.get('elementId') current_part = request.session.get('current_part', 'circumference') if not element_id: return JsonResponse({'error': 'Missing elementId in request.'}, status=400) prompt = "" if element_id == current_part: if current_part == 'circumference': prompt = ( "The student correctly identified the circumference. Congratulate them, define the circumference line as the distance around the outside of the circle and then ask them to select the radius." ) request.session['current_part'] = 'radius' elif current_part == 'radius': prompt = ( "The student correctly identified the radius. Congratulate them, define the radius line as the distance from the center point to a point on the circumference and then ask them to select the diameter." ) request.session['current_part'] = 'diameter' elif current_part == 'diameter': prompt = ( "The student correctly identified the diameter. Congratulate them, define the diameter line as the distance from one point on the circumference to another, passing through the center, and then conclude the lesson." ) request.session.pop('current_part', None) else: if current_part == 'circumference': prompt = ( "The student incorrectly identified the circumference. Kindly tell them they are incorrect, use a creative analogy to correct them and encourage them to try again by clicking on the circumference line." ) elif current_part == 'radius': prompt = ( "The student incorrectly identified the radius. Kindly tell them they are incorrect, use a creative analogy to correct them and encourage them to try again by clicking on the radius line." ) elif current_part == 'diameter': prompt = ( "The student incorrectly identified the diameter. Kindly tell them they are incorrect, use a creative analogy to correct them and encourage them to try again by clicking on the diameter line." ) response_text = generate_response(prompt) return generate_speech_response(response_text, speaker='AI', request=request) except json.JSONDecodeError as e: logger.error("Failed to decode JSON: %s", str(e)) return JsonResponse({'error': 'Invalid JSON format'}, status=400) except Exception as e: logger.error("Unhandled exception: %s", str(e)) return JsonResponse({'error': str(e)}, status=500) return JsonResponse({'error': 'Invalid request method'}, status=405) @csrf_exempt def stop_interaction(request): if request.method == 'POST': request.session.pop('current_part', None) request.session.pop('completed_parts', None) request.session.pop('last_interaction', None) request.session.pop('awaiting_ai_response', None) prompt = "The interaction has been stopped. If you wish to restart, click the start interaction button." return generate_speech_response(prompt, speaker='AI', request=request) return JsonResponse({'error': 'Invalid request method'}, status=405) @csrf_exempt def handle_user_query(request): if request.method == 'POST': try: data = json.loads(request.body) user_query = data.get('userQuery') speaker = data.get('speaker', 'User') if not user_query: logger.error("Missing userQuery in request.") return JsonResponse({'error': 'Missing userQuery'}, status=400) logger.debug("Received query from speaker: %s", speaker) logger.debug("Current awaiting_ai_response flag: %s", request.session.get('awaiting_ai_response')) if speaker == 'AI': if request.session.get('awaiting_ai_response'): logger.info("Ignoring AI response to prevent feedback loop.") request.session['awaiting_ai_response'] = False # Reset flag to avoid feedback loop return JsonResponse({'message': 'AI response ignored.'}, status=200) else: logger.error("Unexpected AI response received when not awaiting an AI response.") return JsonResponse({'error': 'Unexpected AI response.'}, status=400) # Generate AI response based on user query response_text = generate_response(user_query) request.session['awaiting_ai_response'] = True # Set flag indicating waiting for an AI response logger.debug("Generating response for user query.") return generate_speech_response(response_text, speaker='AI', request=request) except json.JSONDecodeError as e: logger.error("Failed to decode JSON: %s", str(e)) return JsonResponse({'error': 'Invalid JSON format'}, status=400) except Exception as e: logger.error("Unhandled exception: %s", str(e)) return JsonResponse({'error': str(e)}, status=500) return JsonResponse({'error': 'Invalid request method'}, status=405) @csrf_exempt def handle_audio_diarization(request): if request.method == 'POST': try: data = json.loads(request.body) audio_content = data.get('audioContent') if not audio_content: return JsonResponse({'error': 'Missing audioContent'}, status=400) audio_content = base64.b64decode(audio_content) # Configure diarization settings audio = speech.RecognitionAudio(content=audio_content) diarization_config = speech.SpeakerDiarizationConfig( enable_speaker_diarization=True, min_speaker_count=2, max_speaker_count=10 ) config = speech.RecognitionConfig( encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16, sample_rate_hertz=16000, language_code='en-GB', diarization_config=diarization_config ) response = speech_client.recognize(config=config, audio=audio) # Process the response to extract speaker diarization information results = [] for result in response.results: for alternative in result.alternatives: for word_info in alternative.words: word = word_info.word speaker_tag = word_info.speaker_tag speaker = 'AI' if speaker_tag == 1 else 'User' # Adjust based on actual speaker tag values # Debug: Log speaker_tag and word logger.debug(f"Word: {word}, Speaker Tag: {speaker_tag}") results.append({ 'word': word, 'speaker': speaker }) return JsonResponse({'transcript': results}) except json.JSONDecodeError as e: logger.error("Failed to decode JSON: %s", str(e)) return JsonResponse({'error': 'Invalid JSON format'}, status=400) except Exception as e: logger.error("Unhandled exception: %s", str(e)) return JsonResponse({'error': str(e)}, status=500) return JsonResponse({'error': 'Invalid request method'}, status=405) def generate_response(prompt): """Generate text response using OpenAI API with context.""" response = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=[ {"role": "system", "content": "You are a helpful and concise math tutor."}, {"role": "user", "content": prompt} ], max_tokens=150, temperature=0.7 ) logger.debug("AI response: %s", response.choices[0].message['content'].strip()) return response.choices[0].message['content'].strip() def generate_speech_response(text, speaker=None, request=None): logger.debug("Generating speech response for text: %s", text) synthesis_input = texttospeech.SynthesisInput(text=text) voice = texttospeech.VoiceSelectionParams( language_code="en-GB", name="en-GB-Standard-F" ) audio_config = texttospeech.AudioConfig( audio_encoding=texttospeech.AudioEncoding.MP3 ) response = TTS_CLIENT.synthesize_speech( input=synthesis_input, voice=voice, audio_config=audio_config ) audio_content = response.audio_content if not isinstance(audio_content, bytes): logger.error("Audio content is not of type bytes.") return JsonResponse({'error': 'Audio content error'}, status=500) audio_base64 = base64.b64encode(audio_content).decode('utf-8') result = {'audioContent': audio_base64} if speaker: result['speaker'] = speaker if request: logger.debug("Resetting awaiting_ai_response flag.") request.session['awaiting_ai_response'] = False # Reset flag after response is sent return JsonResponse(result) `