{"id":9039,"date":"2025-12-18T09:42:59","date_gmt":"2025-12-18T09:42:59","guid":{"rendered":"https:\/\/www.diyipcb.com\/?post_type=product&p=9039"},"modified":"2026-09-27T15:05:57","modified_gmt":"2026-09-27T15:05:57","slug":"respeaker-2-mics-pi-hat-v2-0-for-raspberry-pi-tlv320aic3104-audio-codec-2-analog-microphones-3-apa102-rgb-leds","status":"publish","type":"product","link":"https:\/\/www.diyipcb.com\/de\/produkt\/respeaker-2-mics-pi-hat-v2-0-for-raspberry-pi-tlv320aic3104-audio-codec-2-analog-microphones-3-apa102-rgb-leds\/","title":{"rendered":"reSpeaker 2-Mics Pi HAT V2.0 f\u00fcr Raspberry Pi \u2013 TLV320AIC3104 Audio-Codec, 2 analoge Mikrofone, 3 APA102 RGB-LEDs"},"content":{"rendered":"
Hinweis: <\/span>Das reSpeaker 2-Mics Pi HAT wurde auf Version 2.0 aktualisiert. Der Codec-Chip wurde von WM8960 auf einen anderen Chip ausgetauscht.<\/span>\u00a0<\/span>TLV320AIC3104<\/span><\/strong>, wodurch die Unterst\u00fctzung f\u00fcr<\/span>\u00a0<\/span>Raspberry Pi 5<\/span><\/strong>\u00a0<\/span>und Erweiterung des Abtastratenbereichs von 8 kHz auf 96 kHz.<\/span><\/div>\n
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\ud83c\udf31<\/span>Sprachbenutzerschnittstelle f\u00fcr Raspberry Pi-Serie<\/span><\/strong>: Platziert durch 4 analoge Mikrofone, die im Lieferumfang enthalten sind\u00a0<\/span>Sprachinteraktionsalgorithmen<\/span><\/strong>\u00a0von VAD (Sprachaktivit\u00e4tserkennung), DOA (Einfallsrichtung), KWS (Schl\u00fcsselworterkennung)<\/span><\/p>\n

\ud83c\udf31<\/span>TLV320AIC3104 Audio-Codec<\/span><\/strong>Energiesparender, hochwertiger Stereo-Codec, entwickelt f\u00fcr tragbare digitale Audioanwendungen<\/span><\/p>\n

\ud83c\udf31<\/span>Steuerbare Peripherieger\u00e4te<\/span><\/strong>: Bereitstellung von 3 programmierbaren APA102 RGB-LEDs und 1 Benutzertaste f\u00fcr die angeschlossene Spracherkennung<\/span><\/p>\n

\ud83c\udf31<\/span>Einfache Montage<\/span><\/strong>Einfach auf dem Raspberry Pi aufpoppen, um es zu verwenden<\/span><\/p>\n

Der reSpeaker 2-Mics Pi HAT ist der\u00a0<\/span>Sprachbenutzerschnittstelle<\/span><\/strong>\u00a0f\u00fcr die Raspberry Pi-Serie, die ausgestattet wurde\u00a0<\/span>2 analoge Mikrofone<\/span><\/strong>\u00a0<\/span>und<\/span>\u00a0<\/span>TLV320AIC3104<\/strong><\/span><\/span>\u00a0Audio-Codec<\/span><\/strong>\u00a0F\u00fcr hochaufl\u00f6sende Sprachaufnahmen. Befestigung mit\u00a0<\/span>NLU-Softwarealgorithmen\u00a0<\/span><\/strong>und<\/span>\u00a0Rauschunterdr\u00fcckungsalgorithmen<\/span><\/strong>, Es verf\u00fcgt \u00fcber Funktionen wie Sprachaktivit\u00e4tserkennung, Ankunftsrichtungserkennung und Schl\u00fcsselworterkennung, die in Sprachinteraktionsanwendungen weit verbreitet sind.<\/span><\/p>\n

Wie funktioniert reSpeaker?<\/span><\/strong><\/h3>\n

An jeder Ecke des quadratischen reSpeakers sind analoge Mikrofone angebracht, die Audiodaten aus der Umgebung aufnehmen und an den Codec weiterleiten. Der Codec integriert synchronisierte ADCs mit einem Mikrofonverst\u00e4rker, um g\u00fcltige Kanaldaten an den Raspberry Pi\/Pi Zero zu liefern. Dort werden diese \u00fcber I2S-Ports im Standard-I2S- oder PCM-Format sowie \u00fcber einen einzelnen Port im TDM-Format \u00fcbertragen.<\/span><\/p>\n

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Die NLU-Algorithmen werden auf dem Raspberry Pi angewendet, sobald die Audiodaten eingegangen sind. Zu den Hauptfunktionen geh\u00f6ren Sprachaktivit\u00e4tserkennung (VAD), Einfallsrichtungserkennung (DOA) und Schl\u00fcsselworterkennung (WKS), die sich f\u00fcr verschiedene Sprachinteraktionsanwendungen eignen, wie z. B.\u00a0<\/span>sprachgesteuerte ferngesteuerte Autos<\/span><\/strong>,\u00a0<\/span>Sprachbenutzerschnittstelle, Schl\u00fcsselw\u00f6rter zum Aufwecken<\/span><\/strong>\u00a0und so weiter.<\/span><\/p>\n

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Da die \u00fcbertragenen Audiodaten m\u00f6glicherweise auch Rauschen enthalten, verf\u00fcgt der reSpeaker \u00fcber Funktionen wie Auto Echo Cancellation (AEC), Beamforming, Webrtc Noise Suppression (NS) und Automatic Gain Control (AGC), um Rauschen zu reduzieren und bessere Audiodaten an den Raspberry Pi zu \u00fcbertragen.<\/p>\n<\/div>\n<\/div>\n

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Spezifikation<\/p>\n<\/td>\n

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Details<\/p>\n<\/td>\n<\/tr>\n

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MIC<\/p>\n<\/td>\n

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2 analoge Mikrofone<\/p>\n<\/td>\n<\/tr>\n

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LED<\/p>\n<\/td>\n

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3 APA102 RGB-LEDs<\/p>\n<\/td>\n<\/tr>\n

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Raspberry Pi 40-Pin-Stiftleisten<\/p>\n<\/td>\n

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Unterst\u00fctzt Raspberry Pi 5, Raspberry Pi Zero, Raspberry Pi 1B+\/2B\/3B\/3B+\/4B<\/p>\n<\/td>\n<\/tr>\n

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TLV320AIC3104-Codec<\/p>\n<\/td>\n

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Energiesparender, hochwertiger Stereo-Codec f\u00fcr tragbare digitale Audioanwendungen<\/p>\n<\/td>\n<\/tr>\n

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Software-Algorithmus<\/p>\n<\/td>\n

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VAD (Sprachaktivit\u00e4tserkennung), DOA (Einfallsrichtung) und KWS (Schl\u00fcsselwortsuche)<\/p>\n<\/td>\n<\/tr>\n

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Benutzer-Schaltfl\u00e4che<\/p>\n<\/td>\n

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1 programmierbarer Knopf<\/p>\n<\/td>\n<\/tr>\n

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Sprachaufnahmedistanz<\/p>\n<\/td>\n

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Sprachaufzeichnung im Umkreis von 3 Metern<\/p>\n<\/td>\n<\/tr>\n

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Batterie<\/p>\n<\/td>\n

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Ausschlie\u00dfen<\/p>\n<\/td>\n<\/tr>\n

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Abmessungen<\/p>\n<\/td>\n

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65 mm x 30 mm x 15 mm<\/p>\n<\/td>\n<\/tr>\n

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Gewicht<\/p>\n<\/td>\n

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GW 33g<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Anwendung<\/div>\n<\/div>\n
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\ud83c\udf31<\/span>Sprachinteraktionslernen<\/p>\n

\ud83c\udf31<\/span>Sekund\u00e4re Softwareentwicklung<\/p>\n

\ud83c\udf31<\/span>Sprachgesteuerte ferngesteuerte Autos<\/p>\n

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Unterlagen<\/strong><\/span><\/p>\n

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\ud83c\udf31<\/span>Legen Sie los mit Google Assistant<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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\ud83c\udf31<\/span>So verwenden Sie die Schaltfl\u00e4che, um den Google Assistant auszul\u00f6sen<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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\ud83c\udf31<\/span>Respeaker_2_Mics_Pi_HAT_SCH<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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\ud83c\udf31<\/span>Respeaker_2_Mics_Pi_HAT_PCB<\/p>\n

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\ud83c\udf31<\/span>Respeaker_2_Mics_Pi_HAT_SCH<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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\ud83c\udf31<\/span>Respeaker_2_Mics_Pi_HAT_PCB<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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\ud83c\udf31<\/span>ReSpeaker 2 Mics Pi HAT 3D<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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\ud83c\udf31<\/span>Seeed-Voice Driver<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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\ud83c\udf31<\/span>Zu den Algorithmen geh\u00f6ren DOA, VAD, NS<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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\ud83c\udf31<\/span>Das Voice Engine-Projekt stellt Bausteine zur Erstellung sprachgesteuerter Objekte bereit.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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\ud83c\udf31<\/span>AEC<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Produktanpassung<\/h3>\n

Wir unterst\u00fctzen Dienstleistungen zur Produktindividualisierung. Kontaktieren Sie uns<\/a> um Ihre Anforderungen zu besprechen.<\/p>\n<\/section>","protected":false},"excerpt":{"rendered":"

Note: The reSpeaker 2-Mics Pi HAT has been upgraded to version 2.0. The codec chip has been replaced from WM8960 to\u00a0TLV320AIC3104, enabling support for\u00a0Raspberry Pi 5\u00a0and expanding the sampling rate range from 8 kHz to 96 kHz. \ud83c\udf31Voice User Interface for Raspberry Pi Series: Placed by 4 analogue microphones, which come with the\u00a0Voice Interaction algorithms\u00a0of…<\/p>","protected":false},"featured_media":4875,"comment_status":"open","ping_status":"closed","template":"","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":""},"product_brand":[],"product_cat":[95,94,2097],"product_tag":[],"class_list":["post-9039","product","type-product","status-publish","has-post-thumbnail","product_cat-development-boards","product_cat-electronic-modules","product_cat-modules","first","instock","shipping-taxable","purchasable","product-type-simple","entry","content-bg","loop-entry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.diyipcb.com\/de\/wp-json\/wp\/v2\/product\/9039","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.diyipcb.com\/de\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/www.diyipcb.com\/de\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/www.diyipcb.com\/de\/wp-json\/wp\/v2\/comments?post=9039"}],"version-history":[{"count":0,"href":"https:\/\/www.diyipcb.com\/de\/wp-json\/wp\/v2\/product\/9039\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.diyipcb.com\/de\/wp-json\/wp\/v2\/media\/4875"}],"wp:attachment":[{"href":"https:\/\/www.diyipcb.com\/de\/wp-json\/wp\/v2\/media?parent=9039"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/www.diyipcb.com\/de\/wp-json\/wp\/v2\/product_brand?post=9039"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/www.diyipcb.com\/de\/wp-json\/wp\/v2\/product_cat?post=9039"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/www.diyipcb.com\/de\/wp-json\/wp\/v2\/product_tag?post=9039"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}